01 Welcome to the course/001 Applications of Machine Learning.mp4
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01 Welcome to the course/002 Why Machine Learning is the Future.mp4
14.48MB
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01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4
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01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4
23.96MB
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01 Welcome to the course/005 BONUS Meet your instructors.html
1.33KB
02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4
3.52MB
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02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4
52.88MB
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02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4
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02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html
4.62KB
03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html
1.12KB
04 Simple Linear Regression/017 How to get the dataset.mp4
11.71MB
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04 Simple Linear Regression/018 Dataset Business Problem Description.mp4
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04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4
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04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4
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04 Simple Linear Regression/021 Simple Linear Regression in Python - Step 1.mp4
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04 Simple Linear Regression/022 Simple Linear Regression in Python - Step 2.mp4
24.62MB
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04 Simple Linear Regression/023 Simple Linear Regression in Python - Step 3.mp4
20.55MB
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04 Simple Linear Regression/024 Simple Linear Regression in Python - Step 4.mp4
39.37MB
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04 Simple Linear Regression/025 Simple Linear Regression in R - Step 1.mp4
11.52MB
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04 Simple Linear Regression/026 Simple Linear Regression in R - Step 2.mp4
24.87MB
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04 Simple Linear Regression/027 Simple Linear Regression in R - Step 3.mp4
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04 Simple Linear Regression/028 Simple Linear Regression in R - Step 4.mp4
49.16MB
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04 Simple Linear Regression/quizzes/002 Simple Linear Regression.html
4.47KB
05 Multiple Linear Regression/029 How to get the dataset.mp4
11.71MB
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05 Multiple Linear Regression/030 Dataset Business Problem Description.mp4
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05 Multiple Linear Regression/031 Multiple Linear Regression Intuition - Step 1.mp4
2MB
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05 Multiple Linear Regression/032 Multiple Linear Regression Intuition - Step 2.mp4
2.03MB
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05 Multiple Linear Regression/033 Multiple Linear Regression Intuition - Step 3.mp4
16.59MB
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05 Multiple Linear Regression/034 Multiple Linear Regression Intuition - Step 4.mp4
5.34MB
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05 Multiple Linear Regression/035 Multiple Linear Regression Intuition - Step 5.mp4
32.8MB
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05 Multiple Linear Regression/036 Multiple Linear Regression in Python - Step 1.mp4
52.18MB
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05 Multiple Linear Regression/037 Multiple Linear Regression in Python - Step 2.mp4
9.84MB
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05 Multiple Linear Regression/038 Multiple Linear Regression in Python - Step 3.mp4
25.48MB
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05 Multiple Linear Regression/039 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4
54.54MB
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05 Multiple Linear Regression/040 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4
59.14MB
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05 Multiple Linear Regression/041 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4
54.26MB
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05 Multiple Linear Regression/042 Multiple Linear Regression in R - Step 1.mp4
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45.22MB
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13.85MB
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05 Multiple Linear Regression/045 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp4
50.78MB
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05 Multiple Linear Regression/046 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4
21.95MB
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05 Multiple Linear Regression/quizzes/003 Multiple Linear Regression.html
4.68KB
06 Polynomial Regression/047 Polynomial Regression Intuition.mp4
9.44MB
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06 Polynomial Regression/048 How to get the dataset.mp4
11.71MB
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06 Polynomial Regression/049 Polynomial Regression in Python - Step 1.mp4
31.64MB
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06 Polynomial Regression/050 Polynomial Regression in Python - Step 2.mp4
35.11MB
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06 Polynomial Regression/051 Polynomial Regression in Python - Step 3.mp4
54.5MB
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06 Polynomial Regression/052 Polynomial Regression in Python - Step 4.mp4
17.65MB
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06 Polynomial Regression/053 Python Regression Template.mp4
36.78MB
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06 Polynomial Regression/054 Polynomial Regression in R - Step 1.mp4
21.21MB
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06 Polynomial Regression/055 Polynomial Regression in R - Step 2.mp4
32.28MB
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06 Polynomial Regression/056 Polynomial Regression in R - Step 3.mp4
54.8MB
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06 Polynomial Regression/057 Polynomial Regression in R - Step 4.mp4
28.52MB
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06 Polynomial Regression/058 R Regression Template.mp4
31.33MB
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07 Support Vector Regression SVR/059 How to get the dataset.mp4
11.71MB
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07 Support Vector Regression SVR/060 SVR in Python.mp4
60.22MB
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07 Support Vector Regression SVR/061 SVR in R.mp4
33.73MB
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08 Decision Tree Regression/062 Decision Tree Regression Intuition.mp4
25.33MB
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08 Decision Tree Regression/063 How to get the dataset.mp4
11.71MB
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08 Decision Tree Regression/064 Decision Tree Regression in Python.mp4
43.44MB
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08 Decision Tree Regression/065 Decision Tree Regression in R.mp4
56.23MB
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09 Random Forest Regression/066 Random Forest Regression Intuition.mp4
15.65MB
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09 Random Forest Regression/067 How to get the dataset.mp4
11.71MB
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09 Random Forest Regression/068 Random Forest Regression in Python.mp4
52.69MB
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09 Random Forest Regression/069 Random Forest Regression in R.mp4
51.86MB
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10 Evaluating Regression Models Performance/070 R-Squared Intuition.mp4
9.8MB
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10 Evaluating Regression Models Performance/071 Adjusted R-Squared Intuition.mp4
21.41MB
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10 Evaluating Regression Models Performance/072 Evaluating Regression Models Performance - Homeworks Final Part.mp4
28.35MB
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10 Evaluating Regression Models Performance/073 Interpreting Linear Regression Coefficients.mp4
27.38MB
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10 Evaluating Regression Models Performance/074 Conclusion of Part 2 - Regression.html
3.34KB
11 ---------------------------- Part 3 Classification ----------------------------/075 Welcome to Part 3 - Classification.html
1.08KB
12 Logistic Regression/076 Logistic Regression Intuition.mp4
29.17MB
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12 Logistic Regression/077 How to get the dataset.mp4
11.71MB
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12 Logistic Regression/078 Logistic Regression in Python - Step 1.mp4
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14 Support Vector Machine SVM/096 SVM in Python.mp4
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14 Support Vector Machine SVM/097 SVM in R.mp4
65.31MB
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14 Support Vector Machine SVM/attached_files/097 SVM in R/SVM.zip
8.27KB
15 Kernel SVM/098 Kernel SVM Intuition.mp4
6.42MB
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15 Kernel SVM/099 Mapping to a higher dimension.mp4
15.39MB
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15 Kernel SVM/100 The Kernel Trick.mp4
34.72MB
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15 Kernel SVM/101 Types of Kernel Functions.mp4
15.71MB
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15 Kernel SVM/102 How to get the dataset.mp4
11.71MB
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15 Kernel SVM/103 Kernel SVM in Python.mp4
54.86MB
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15 Kernel SVM/104 Kernel SVM in R.mp4
52.82MB
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16 Naive Bayes/105 Bayes Theorem.mp4
50.43MB
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16 Naive Bayes/106 Naive Bayes Intuition.mp4
31.1MB
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16 Naive Bayes/107 Naive Bayes Intuition Challenge Reveal.mp4
13.27MB
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16 Naive Bayes/108 Naive Bayes Intuition Extras.mp4
18.94MB
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16 Naive Bayes/109 How to get the dataset.mp4
11.71MB
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16 Naive Bayes/110 Naive Bayes in Python.mp4
31.14MB
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16 Naive Bayes/111 Naive Bayes in R.mp4
49.79MB
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17 Decision Tree Classification/112 Decision Tree Classification Intuition.mp4
21.63MB
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17 Decision Tree Classification/113 How to get the dataset.mp4
11.71MB
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17 Decision Tree Classification/114 Decision Tree Classification in Python.mp4
38.85MB
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17 Decision Tree Classification/115 Decision Tree Classification in R.mp4
68.18MB
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20 ---------------------------- Part 4 Clustering ----------------------------/126 Welcome to Part 4 - Clustering.html
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21 K-Means Clustering/127 K-Means Clustering Intuition.mp4
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22 Hierarchical Clustering/133 Hierarchical Clustering Intuition.mp4
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22 Hierarchical Clustering/135 Hierarchical Clustering Using Dendrograms.mp4
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22 Hierarchical Clustering/136 How to get the dataset.mp4
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22 Hierarchical Clustering/137 HC in Python - Step 1.mp4
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22 Hierarchical Clustering/138 HC in Python - Step 2.mp4
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22 Hierarchical Clustering/139 HC in Python - Step 3.mp4
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22 Hierarchical Clustering/140 HC in Python - Step 4.mp4
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22 Hierarchical Clustering/141 HC in Python - Step 5.mp4
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22 Hierarchical Clustering/142 HC in R - Step 1.mp4
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22 Hierarchical Clustering/143 HC in R - Step 2.mp4
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22 Hierarchical Clustering/144 HC in R - Step 3.mp4
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22 Hierarchical Clustering/145 HC in R - Step 4.mp4
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22 Hierarchical Clustering/146 HC in R - Step 5.mp4
13.68MB
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22 Hierarchical Clustering/147 Conclusion of Part 4 - Clustering.html
809B
22 Hierarchical Clustering/quizzes/007 Hierarchical Clustering.html
4.38KB
23 ---------------------- Part 5 Association Rule Learning ----------------------/148 Welcome to Part 5 - Association Rule Learning.html
713B
24 Apriori/149 Apriori Intuition.mp4
35.02MB
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24 Apriori/150 How to get the dataset.mp4
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24 Apriori/151 Apriori in R - Step 1.mp4
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24 Apriori/152 Apriori in R - Step 2.mp4
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24 Apriori/153 Apriori in R - Step 3.mp4
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24 Apriori/154 Apriori in Python - Step 1.mp4
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24 Apriori/155 Apriori in Python - Step 2.mp4
37.32MB
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24 Apriori/156 Apriori in Python - Step 3.mp4
35.3MB
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25 Eclat/157 Eclat Intuition.mp4
10.65MB
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25 Eclat/158 How to get the dataset.mp4
11.71MB
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25 Eclat/159 Eclat in R.mp4
25.26MB
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25 Eclat/attached_files/159 Eclat in R/Eclat.zip
48.54KB
26 ------------------------ Part 6 Reinforcement Learning ------------------------/160 Welcome to Part 6 - Reinforcement Learning.html
1.09KB
27 Upper Confidence Bound UCB/161 The Multi-Armed Bandit Problem.mp4
30.19MB
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27 Upper Confidence Bound UCB/162 Upper Confidence Bound UCB Intuition.mp4
29.32MB
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27 Upper Confidence Bound UCB/163 How to get the dataset.mp4
11.71MB
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27 Upper Confidence Bound UCB/164 Upper Confidence Bound in Python - Step 1.mp4
39.01MB
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27 Upper Confidence Bound UCB/165 Upper Confidence Bound in Python - Step 2.mp4
44.49MB
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27 Upper Confidence Bound UCB/166 Upper Confidence Bound in Python - Step 3.mp4
53.71MB
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27 Upper Confidence Bound UCB/167 Upper Confidence Bound in Python - Step 4.mp4
12.44MB
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27 Upper Confidence Bound UCB/168 Upper Confidence Bound in R - Step 1.mp4
34.01MB
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27 Upper Confidence Bound UCB/169 Upper Confidence Bound in R - Step 2.mp4
34.1MB
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27 Upper Confidence Bound UCB/170 Upper Confidence Bound in R - Step 3.mp4
57.84MB
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27 Upper Confidence Bound UCB/171 Upper Confidence Bound in R - Step 4.mp4
9.55MB
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28 Thompson Sampling/172 Thompson Sampling Intuition.mp4
37.27MB
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28 Thompson Sampling/173 Algorithm Comparison UCB vs Thompson Sampling.mp4
14.08MB
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28 Thompson Sampling/174 How to get the dataset.mp4
11.71MB
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28 Thompson Sampling/175 Thompson Sampling in Python - Step 1.mp4
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28 Thompson Sampling/177 Thompson Sampling in R - Step 1.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/179 Welcome to Part 7 - Natural Language Processing.html
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29 --------------------- Part 7 Natural Language Processing ---------------------/180 How to get the dataset.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/181 Natural Language Processing in Python - Step 1.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/182 Natural Language Processing in Python - Step 2.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/183 Natural Language Processing in Python - Step 3.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/184 Natural Language Processing in Python - Step 4.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/185 Natural Language Processing in Python - Step 5.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/186 Natural Language Processing in Python - Step 6.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/187 Natural Language Processing in Python - Step 7.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/188 Natural Language Processing in Python - Step 8.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/189 Natural Language Processing in Python - Step 9.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/190 Natural Language Processing in Python - Step 10.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/191 Homework Challenge.html
1.65KB
29 --------------------- Part 7 Natural Language Processing ---------------------/192 Natural Language Processing in R - Step 1.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/193 Natural Language Processing in R - Step 2.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/194 Natural Language Processing in R - Step 3.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/195 Natural Language Processing in R - Step 4.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/196 Natural Language Processing in R - Step 5.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/197 Natural Language Processing in R - Step 6.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/198 Natural Language Processing in R - Step 7.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/199 Natural Language Processing in R - Step 8.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/200 Natural Language Processing in R - Step 9.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/201 Natural Language Processing in R - Step 10.mp4
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29 --------------------- Part 7 Natural Language Processing ---------------------/202 Homework Challenge.html
1.68KB
30 ---------------------------- Part 8 Deep Learning ----------------------------/203 Welcome to Part 8 - Deep Learning.html
1.15KB
30 ---------------------------- Part 8 Deep Learning ----------------------------/204 What is Deep Learning.mp4
31.31MB
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31 Artificial Neural Networks/205 Plan of attack.mp4
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31 Artificial Neural Networks/206 The Neuron.mp4
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31 Artificial Neural Networks/207 The Activation Function.mp4
14.75MB
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31 Artificial Neural Networks/208 How do Neural Networks work.mp4
23.53MB
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31 Artificial Neural Networks/209 How do Neural Networks learn.mp4
26.55MB
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31 Artificial Neural Networks/210 Gradient Descent.mp4
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31 Artificial Neural Networks/211 Stochastic Gradient Descent.mp4
16.82MB
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31 Artificial Neural Networks/212 Backpropagation.mp4
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31 Artificial Neural Networks/213 How to get the dataset.mp4
11.71MB
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31 Artificial Neural Networks/214 Business Problem Description.mp4
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31 Artificial Neural Networks/215 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp4
37.45MB
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31 Artificial Neural Networks/216 ANN in Python - Step 2.mp4
84.87MB
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31 Artificial Neural Networks/218 ANN in Python - Step 4.mp4
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31 Artificial Neural Networks/219 ANN in Python - Step 5.mp4
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31 Artificial Neural Networks/221 ANN in Python - Step 7.mp4
14.92MB
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31 Artificial Neural Networks/222 ANN in Python - Step 8.mp4
34.03MB
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31 Artificial Neural Networks/223 ANN in Python - Step 9.mp4
28.47MB
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31 Artificial Neural Networks/224 ANN in Python - Step 10.mp4
28.42MB
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31 Artificial Neural Networks/225 ANN in R - Step 1.mp4
49.89MB
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31 Artificial Neural Networks/226 ANN in R - Step 2.mp4
18.24MB
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31 Artificial Neural Networks/227 ANN in R - Step 3.mp4
37.85MB
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31 Artificial Neural Networks/228 ANN in R - Step 4 Last step.mp4
43.75MB
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32 Convolutional Neural Networks/229 Plan of attack.mp4
5.9MB
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32 Convolutional Neural Networks/230 What are convolutional neural networks.mp4
29.5MB
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32 Convolutional Neural Networks/231 Step 1 - Convolution Operation.mp4
31.02MB
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32 Convolutional Neural Networks/232 Step 1b - ReLU Layer.mp4
14.09MB
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32 Convolutional Neural Networks/233 Step 2 - Pooling.mp4
40.24MB
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32 Convolutional Neural Networks/234 Step 3 - Flattening.mp4
3.27MB
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32 Convolutional Neural Networks/235 Step 4 - Full Connection.mp4
42.74MB
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32 Convolutional Neural Networks/236 Summary.mp4
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32 Convolutional Neural Networks/237 Softmax Cross-Entropy.mp4
33.23MB
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32 Convolutional Neural Networks/238 How to get the dataset.mp4
11.71MB
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32 Convolutional Neural Networks/239 CNN in Python - Step 1.mp4
30.6MB
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32 Convolutional Neural Networks/240 CNN in Python - Step 2.mp4
7.2MB
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32 Convolutional Neural Networks/241 CNN in Python - Step 3.mp4
2.8MB
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32 Convolutional Neural Networks/242 CNN in Python - Step 4.mp4
34.62MB
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32 Convolutional Neural Networks/243 CNN in Python - Step 5.mp4
12.38MB
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32 Convolutional Neural Networks/244 CNN in Python - Step 6.mp4
11.94MB
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32 Convolutional Neural Networks/245 CNN in Python - Step 7.mp4
16.65MB
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32 Convolutional Neural Networks/246 CNN in Python - Step 8.mp4
8.95MB
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32 Convolutional Neural Networks/247 CNN in Python - Step 9.mp4
62.41MB
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32 Convolutional Neural Networks/248 CNN in Python - Step 10.mp4
27.74MB
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32 Convolutional Neural Networks/249 CNN in R.html
2.65KB
33 ----------------------- Part 9 Dimensionality Reduction -----------------------/250 Welcome to Part 9 - Dimensionality Reduction.html
1.57KB
34 Principal Component Analysis PCA/251 How to get the dataset.mp4
11.71MB
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34 Principal Component Analysis PCA/252 PCA in Python - Step 1.mp4
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34 Principal Component Analysis PCA/253 PCA in Python - Step 2.mp4
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34 Principal Component Analysis PCA/254 PCA in Python - Step 3.mp4
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34 Principal Component Analysis PCA/255 PCA in R - Step 1.mp4
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34 Principal Component Analysis PCA/256 PCA in R - Step 2.mp4
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34 Principal Component Analysis PCA/257 PCA in R - Step 3.mp4
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35 Linear Discriminant Analysis LDA/258 How to get the dataset.mp4
11.71MB
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35 Linear Discriminant Analysis LDA/259 LDA in Python.mp4
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35 Linear Discriminant Analysis LDA/260 LDA in R.mp4
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36 Kernel PCA/261 How to get the dataset.mp4
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36 Kernel PCA/262 Kernel PCA in Python.mp4
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36 Kernel PCA/263 Kernel PCA in R.mp4
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37 --------------------- Part 10 Model Selection Boosting ---------------------/264 Welcome to Part 10 - Model Selection Boosting.html
1.19KB
38 Model Selection/265 How to get the dataset.mp4
11.71MB
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38 Model Selection/266 k-Fold Cross Validation in Python.mp4
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38 Model Selection/267 k-Fold Cross Validation in R.mp4
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38 Model Selection/268 Grid Search in Python - Step 1.mp4
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38 Model Selection/269 Grid Search in Python - Step 2.mp4
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38 Model Selection/270 Grid Search in R.mp4
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39 XGBoost/271 How to get the dataset.mp4
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39 XGBoost/272 XGBoost in Python - Step 1.mp4
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39 XGBoost/273 XGBoost in Python - Step 2.mp4
31.97MB
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39 XGBoost/274 XGBoost in R.mp4
47.26MB
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40 Bonus Lectures/275 YOUR SPECIAL BONUS.html
5.02KB
[FreeCourseSite.com].txt
1.07KB
[FreeCourseSite.com].url
127B