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[FreeTutorials.Us] Udemy - machinelearning
magnet:?xt=urn:btih:714fee16bf3699708235caeb4b8ae8cdf8c894dc&dn=[FreeTutorials.Us] Udemy - machinelearning
磁力链接详情
Hash值:
714fee16bf3699708235caeb4b8ae8cdf8c894dc
点击数:
79
文件大小:
5.47 GB
文件数量:
257
创建日期:
2020-6-18 01:13
最后访问:
2025-2-5 02:46
访问标签:
FreeTutorials
Us
Udemy
-
machinelearning
文件列表详情
01 Welcome to the course!/001 Applications of Machine Learning.mp4 7.99 MB
01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 12.81 MB
01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 17.55 MB
01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 19.52 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 2.98 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 21.15 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.07 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset.mp4 23.31 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data.mp4 32.16 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/013 Categorical Data.mp4 40.79 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/014 Splitting the Dataset into the Training set and Test set.mp4 39.03 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/015 Feature Scaling.mp4 34.62 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/016 And here is our Data Preprocessing Template!.mp4 19.67 MB
04 Simple Linear Regression/018 How to get the dataset.mp4 11.71 MB
04 Simple Linear Regression/019 Dataset + Business Problem Description.mp4 6.62 MB
04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 1.mp4 9.47 MB
04 Simple Linear Regression/021 Simple Linear Regression Intuition - Step 2.mp4 5.37 MB
04 Simple Linear Regression/022 Simple Linear Regression in Python - Step 1.mp4 21.72 MB
04 Simple Linear Regression/023 Simple Linear Regression in Python - Step 2.mp4 18.75 MB
04 Simple Linear Regression/024 Simple Linear Regression in Python - Step 3.mp4 15.61 MB
04 Simple Linear Regression/025 Simple Linear Regression in Python - Step 4.mp4 30.82 MB
04 Simple Linear Regression/026 Simple Linear Regression in R - Step 1.mp4 9.53 MB
04 Simple Linear Regression/027 Simple Linear Regression in R - Step 2.mp4 14.35 MB
04 Simple Linear Regression/028 Simple Linear Regression in R - Step 3.mp4 8.63 MB
04 Simple Linear Regression/029 Simple Linear Regression in R - Step 4.mp4 37.37 MB
05 Multiple Linear Regression/030 How to get the dataset.mp4 11.71 MB
05 Multiple Linear Regression/031 Dataset + Business Problem Description.mp4 9.98 MB
05 Multiple Linear Regression/032 Multiple Linear Regression Intuition - Step 1.mp4 1.82 MB
05 Multiple Linear Regression/033 Multiple Linear Regression Intuition - Step 2.mp4 1.78 MB
05 Multiple Linear Regression/034 Multiple Linear Regression Intuition - Step 3.mp4 14.28 MB
05 Multiple Linear Regression/035 Multiple Linear Regression Intuition - Step 4.mp4 4.51 MB
05 Multiple Linear Regression/036 Multiple Linear Regression Intuition - Step 5.mp4 28.83 MB
05 Multiple Linear Regression/037 Multiple Linear Regression in Python - Step 1.mp4 39.56 MB
05 Multiple Linear Regression/038 Multiple Linear Regression in Python - Step 2.mp4 7.22 MB
05 Multiple Linear Regression/039 Multiple Linear Regression in Python - Step 3.mp4 14.29 MB
05 Multiple Linear Regression/040 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 32.82 MB
05 Multiple Linear Regression/041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4 32.59 MB
05 Multiple Linear Regression/042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 27.17 MB
05 Multiple Linear Regression/043 Multiple Linear Regression in R - Step 1.mp4 17.94 MB
05 Multiple Linear Regression/044 Multiple Linear Regression in R - Step 2.mp4 25.93 MB
05 Multiple Linear Regression/045 Multiple Linear Regression in R - Step 3.mp4 10.41 MB
05 Multiple Linear Regression/046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 39.73 MB
05 Multiple Linear Regression/047 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 17.24 MB
06 Polynomial Regression/048 Polynomial Regression Intuition.mp4 9.44 MB
06 Polynomial Regression/049 How to get the dataset.mp4 11.71 MB
06 Polynomial Regression/050 Polynomial Regression in Python - Step 1.mp4 24.89 MB
06 Polynomial Regression/051 Polynomial Regression in Python - Step 2.mp4 27.1 MB
06 Polynomial Regression/052 Polynomial Regression in Python - Step 3.mp4 42.98 MB
06 Polynomial Regression/053 Polynomial Regression in Python - Step 4.mp4 13.5 MB
06 Polynomial Regression/054 Python Regression Template.mp4 27.43 MB
06 Polynomial Regression/055 Polynomial Regression in R - Step 1.mp4 17.78 MB
06 Polynomial Regression/056 Polynomial Regression in R - Step 2.mp4 23.87 MB
06 Polynomial Regression/057 Polynomial Regression in R - Step 3.mp4 43.31 MB
06 Polynomial Regression/058 Polynomial Regression in R - Step 4.mp4 22.34 MB
06 Polynomial Regression/059 R Regression Template.mp4 25.41 MB
07 Support Vector Regression (SVR)/060 How to get the dataset.mp4 11.71 MB
07 Support Vector Regression (SVR)/061 SVR in Python.mp4 46.18 MB
07 Support Vector Regression (SVR)/062 SVR in R.mp4 25.87 MB
08 Decision Tree Regression/063 Decision Tree Regression Intuition.mp4 22.69 MB
08 Decision Tree Regression/064 How to get the dataset.mp4 11.71 MB
08 Decision Tree Regression/065 Decision Tree Regression in Python.mp4 33.54 MB
08 Decision Tree Regression/066 Decision Tree Regression in R.mp4 44.37 MB
09 Random Forest Regression/067 Random Forest Regression Intuition.mp4 13.82 MB
09 Random Forest Regression/068 How to get the dataset.mp4 11.71 MB
09 Random Forest Regression/069 Random Forest Regression in Python.mp4 39.47 MB
09 Random Forest Regression/070 Random Forest Regression in R.mp4 40.34 MB
10 Evaluating Regression Models Performance/071 R-Squared Intuition.mp4 8.85 MB
10 Evaluating Regression Models Performance/072 Adjusted R-Squared Intuition.mp4 19.28 MB
10 Evaluating Regression Models Performance/073 Evaluating Regression Models Performance - Homework's Final Part.mp4 21.89 MB
10 Evaluating Regression Models Performance/074 Interpreting Linear Regression Coefficients.mp4 24.21 MB
12 Logistic Regression/077 Logistic Regression Intuition.mp4 29.17 MB
12 Logistic Regression/078 How to get the dataset.mp4 11.71 MB
12 Logistic Regression/079 Logistic Regression in Python - Step 1.mp4 12.93 MB
12 Logistic Regression/080 Logistic Regression in Python - Step 2.mp4 8.23 MB
12 Logistic Regression/081 Logistic Regression in Python - Step 3.mp4 5.97 MB
12 Logistic Regression/082 Logistic Regression in Python - Step 4.mp4 10.37 MB
12 Logistic Regression/083 Logistic Regression in Python - Step 5.mp4 42.55 MB
12 Logistic Regression/084 Python Classification Template.mp4 12.06 MB
12 Logistic Regression/085 Logistic Regression in R - Step 1.mp4 12.58 MB
12 Logistic Regression/086 Logistic Regression in R - Step 2.mp4 7.84 MB
12 Logistic Regression/087 Logistic Regression in R - Step 3.mp4 14.59 MB
12 Logistic Regression/088 Logistic Regression in R - Step 4.mp4 6.9 MB
12 Logistic Regression/089 Logistic Regression in R - Step 5.mp4 51.68 MB
12 Logistic Regression/090 R Classification Template.mp4 12.47 MB
13 K-Nearest Neighbors (K-NN)/091 K-Nearest Neighbor Intuition.mp4 9.27 MB
13 K-Nearest Neighbors (K-NN)/092 How to get the dataset.mp4 11.71 MB
13 K-Nearest Neighbors (K-NN)/093 K-NN in Python.mp4 35.21 MB
13 K-Nearest Neighbors (K-NN)/094 K-NN in R.mp4 41.37 MB
14 Support Vector Machine (SVM)/095 SVM Intuition.mp4 18.01 MB
14 Support Vector Machine (SVM)/096 How to get the dataset.mp4 11.71 MB
14 Support Vector Machine (SVM)/097 SVM in Python.mp4 31.16 MB
14 Support Vector Machine (SVM)/098 SVM in R.mp4 32.26 MB
15 Kernel SVM/099 Kernel SVM Intuition.mp4 5.79 MB
15 Kernel SVM/100 Mapping to a higher dimension.mp4 13.74 MB
15 Kernel SVM/101 The Kernel Trick.mp4 29.28 MB
15 Kernel SVM/102 Types of Kernel Functions.mp4 12.3 MB
15 Kernel SVM/103 How to get the dataset.mp4 11.71 MB
15 Kernel SVM/104 Kernel SVM in Python.mp4 41.62 MB
15 Kernel SVM/105 Kernel SVM in R.mp4 40.45 MB
16 Naive Bayes/106 Bayes Theorem.mp4 43.9 MB
16 Naive Bayes/107 Naive Bayes Intuition.mp4 27.79 MB
16 Naive Bayes/108 Naive Bayes Intuition (Challenge Reveal).mp4 13.27 MB
16 Naive Bayes/109 Naive Bayes Intuition (Extras).mp4 18.94 MB
16 Naive Bayes/110 How to get the dataset.mp4 11.71 MB
16 Naive Bayes/111 Naive Bayes in Python.mp4 23.38 MB
16 Naive Bayes/112 Naive Bayes in R.mp4 37.31 MB
17 Decision Tree Classification/113 Decision Tree Classification Intuition.mp4 18.79 MB
17 Decision Tree Classification/114 How to get the dataset.mp4 11.71 MB
17 Decision Tree Classification/115 Decision Tree Classification in Python.mp4 29.8 MB
17 Decision Tree Classification/116 Decision Tree Classification in R.mp4 51.18 MB
18 Random Forest Classification/117 Random Forest Classification Intuition.mp4 19.43 MB
18 Random Forest Classification/118 How to get the dataset.mp4 11.71 MB
18 Random Forest Classification/119 Random Forest Classification in Python.mp4 47.15 MB
18 Random Forest Classification/120 Random Forest Classification in R.mp4 49.39 MB
19 Evaluating Classification Models Performance/121 False Positives & False Negatives.mp4 13.65 MB
19 Evaluating Classification Models Performance/122 Confusion Matrix.mp4 8.21 MB
19 Evaluating Classification Models Performance/123 Accuracy Paradox.mp4 3.8 MB
19 Evaluating Classification Models Performance/124 CAP Curve.mp4 18.68 MB
19 Evaluating Classification Models Performance/125 CAP Curve Analysis.mp4 11.51 MB
21 K-Means Clustering/128 K-Means Clustering Intuition.mp4 26.86 MB
21 K-Means Clustering/129 K-Means Random Initialization Trap.mp4 15.36 MB
21 K-Means Clustering/130 K-Means Selecting The Number Of Clusters.mp4 23.13 MB
21 K-Means Clustering/131 How to get the dataset.mp4 11.71 MB
21 K-Means Clustering/132 K-Means Clustering in Python.mp4 39.77 MB
21 K-Means Clustering/133 K-Means Clustering in R.mp4 28.99 MB
22 Hierarchical Clustering/134 Hierarchical Clustering Intuition.mp4 16.52 MB
22 Hierarchical Clustering/135 Hierarchical Clustering How Dendrograms Work.mp4 17.46 MB
22 Hierarchical Clustering/136 Hierarchical Clustering Using Dendrograms.mp4 22.81 MB
22 Hierarchical Clustering/137 How to get the dataset.mp4 11.71 MB
22 Hierarchical Clustering/138 HC in Python - Step 1.mp4 10.72 MB
22 Hierarchical Clustering/139 HC in Python - Step 2.mp4 12.64 MB
22 Hierarchical Clustering/140 HC in Python - Step 3.mp4 12.3 MB
22 Hierarchical Clustering/141 HC in Python - Step 4.mp4 12.02 MB
22 Hierarchical Clustering/142 HC in Python - Step 5.mp4 8.39 MB
22 Hierarchical Clustering/143 HC in R - Step 1.mp4 7.38 MB
22 Hierarchical Clustering/144 HC in R - Step 2.mp4 11.15 MB
22 Hierarchical Clustering/145 HC in R - Step 3.mp4 7.8 MB
22 Hierarchical Clustering/146 HC in R - Step 4.mp4 7.44 MB
22 Hierarchical Clustering/147 HC in R - Step 5.mp4 6.88 MB
24 Apriori/150 Apriori Intuition.mp4 35.02 MB
24 Apriori/151 How to get the dataset.mp4 11.71 MB
24 Apriori/152 Apriori in R - Step 1.mp4 42.87 MB
24 Apriori/153 Apriori in R - Step 2.mp4 30.5 MB
24 Apriori/154 Apriori in R - Step 3.mp4 43.84 MB
24 Apriori/155 Apriori in Python - Step 1.mp4 37.97 MB
24 Apriori/156 Apriori in Python - Step 2.mp4 29.52 MB
24 Apriori/157 Apriori in Python - Step 3.mp4 26.96 MB
25 Eclat/158 Eclat Intuition.mp4 10.65 MB
25 Eclat/159 How to get the dataset.mp4 11.71 MB
25 Eclat/160 Eclat in R.mp4 20.68 MB
27 Upper Confidence Bound (UCB)/162 The Multi-Armed Bandit Problem.mp4 30.19 MB
27 Upper Confidence Bound (UCB)/163 Upper Confidence Bound (UCB) Intuition.mp4 29.32 MB
27 Upper Confidence Bound (UCB)/164 How to get the dataset.mp4 11.71 MB
27 Upper Confidence Bound (UCB)/165 Upper Confidence Bound in Python - Step 1.mp4 31.53 MB
27 Upper Confidence Bound (UCB)/166 Upper Confidence Bound in Python - Step 2.mp4 35.44 MB
27 Upper Confidence Bound (UCB)/167 Upper Confidence Bound in Python - Step 3.mp4 41.11 MB
27 Upper Confidence Bound (UCB)/168 Upper Confidence Bound in Python - Step 4.mp4 9.13 MB
27 Upper Confidence Bound (UCB)/169 Upper Confidence Bound in R - Step 1.mp4 28.05 MB
27 Upper Confidence Bound (UCB)/170 Upper Confidence Bound in R - Step 2.mp4 29.01 MB
27 Upper Confidence Bound (UCB)/171 Upper Confidence Bound in R - Step 3.mp4 47.2 MB
27 Upper Confidence Bound (UCB)/172 Upper Confidence Bound in R - Step 4.mp4 7.4 MB
28 Thompson Sampling/173 Thompson Sampling Intuition.mp4 37.27 MB
28 Thompson Sampling/174 Algorithm Comparison_ UCB vs Thompson Sampling.mp4 14.08 MB
28 Thompson Sampling/175 How to get the dataset.mp4 11.71 MB
28 Thompson Sampling/176 Thompson Sampling in Python - Step 1.mp4 43.13 MB
28 Thompson Sampling/177 Thompson Sampling in Python - Step 2.mp4 8.41 MB
28 Thompson Sampling/178 Thompson Sampling in R - Step 1.mp4 40.93 MB
28 Thompson Sampling/179 Thompson Sampling in R - Step 2.mp4 7.46 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/181 How to get the dataset.mp4 11.71 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/182 Natural Language Processing in Python - Step 1.mp4 35.2 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/183 Natural Language Processing in Python - Step 2.mp4 21.96 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/184 Natural Language Processing in Python - Step 3.mp4 3.38 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/185 Natural Language Processing in Python - Step 4.mp4 24 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/186 Natural Language Processing in Python - Step 5.mp4 14.9 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/187 Natural Language Processing in Python - Step 6.mp4 6.49 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/188 Natural Language Processing in Python - Step 7.mp4 17.1 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/189 Natural Language Processing in Python - Step 8.mp4 39.48 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/190 Natural Language Processing in Python - Step 9.mp4 14.01 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/191 Natural Language Processing in Python - Step 10.mp4 24.13 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/193 Natural Language Processing in R - Step 1.mp4 40.37 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/194 Natural Language Processing in R - Step 2.mp4 17.47 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/195 Natural Language Processing in R - Step 3.mp4 13.52 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/196 Natural Language Processing in R - Step 4.mp4 6.5 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/197 Natural Language Processing in R - Step 5.mp4 4.57 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/198 Natural Language Processing in R - Step 6.mp4 12.73 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/199 Natural Language Processing in R - Step 7.mp4 7.51 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/200 Natural Language Processing in R - Step 8.mp4 13.26 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/201 Natural Language Processing in R - Step 9.mp4 28.99 MB
29 -------------------- Part 7_ Natural Language Processing --------------------/202 Natural Language Processing in R - Step 10.mp4 41.19 MB
30 -------------------- Part 8_ Deep Learning --------------------/205 What is Deep Learning_.mp4 31.31 MB
31 Artificial Neural Networks/206 Plan of attack.mp4 4.74 MB
31 Artificial Neural Networks/207 The Neuron.mp4 29.86 MB
31 Artificial Neural Networks/208 The Activation Function.mp4 14.75 MB
31 Artificial Neural Networks/209 How do Neural Networks work_.mp4 23.53 MB
31 Artificial Neural Networks/210 How do Neural Networks learn_.mp4 26.55 MB
31 Artificial Neural Networks/211 Gradient Descent.mp4 18.53 MB
31 Artificial Neural Networks/212 Stochastic Gradient Descent.mp4 16.82 MB
31 Artificial Neural Networks/213 Backpropagation.mp4 10.92 MB
31 Artificial Neural Networks/214 How to get the dataset.mp4 11.71 MB
31 Artificial Neural Networks/215 Business Problem Description.mp4 16.37 MB
31 Artificial Neural Networks/216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras.mp4 29.31 MB
31 Artificial Neural Networks/217 ANN in Python - Step 2.mp4 48.09 MB
31 Artificial Neural Networks/218 ANN in Python - Step 3.mp4 8.37 MB
31 Artificial Neural Networks/219 ANN in Python - Step 4.mp4 5.88 MB
31 Artificial Neural Networks/220 ANN in Python - Step 5.mp4 29.58 MB
31 Artificial Neural Networks/221 ANN in Python - Step 6.mp4 7.05 MB
31 Artificial Neural Networks/222 ANN in Python - Step 7.mp4 8.99 MB
31 Artificial Neural Networks/223 ANN in Python - Step 8.mp4 18.16 MB
31 Artificial Neural Networks/224 ANN in Python - Step 9.mp4 16.89 MB
31 Artificial Neural Networks/225 ANN in Python - Step 10.mp4 17.09 MB
31 Artificial Neural Networks/226 ANN in R - Step 1.mp4 38.55 MB
31 Artificial Neural Networks/227 ANN in R - Step 2.mp4 14.17 MB
31 Artificial Neural Networks/228 ANN in R - Step 3.mp4 28.94 MB
31 Artificial Neural Networks/229 ANN in R - Step 4 (Last step).mp4 33.44 MB
32 Convolutional Neural Networks/230 Plan of attack.mp4 5.9 MB
32 Convolutional Neural Networks/231 What are convolutional neural networks_.mp4 29.5 MB
32 Convolutional Neural Networks/232 Step 1 - Convolution Operation.mp4 31.02 MB
32 Convolutional Neural Networks/233 Step 1(b) - ReLU Layer.mp4 14.09 MB
32 Convolutional Neural Networks/234 Step 2 - Pooling.mp4 40.24 MB
32 Convolutional Neural Networks/235 Step 3 - Flattening.mp4 3.27 MB
32 Convolutional Neural Networks/236 Step 4 - Full Connection.mp4 42.74 MB
32 Convolutional Neural Networks/237 Summary.mp4 7.91 MB
32 Convolutional Neural Networks/238 Softmax & Cross-Entropy.mp4 33.23 MB
32 Convolutional Neural Networks/239 How to get the dataset.mp4 11.71 MB
32 Convolutional Neural Networks/240 CNN in Python - Step 1.mp4 24.92 MB
32 Convolutional Neural Networks/241 CNN in Python - Step 2.mp4 5.85 MB
32 Convolutional Neural Networks/242 CNN in Python - Step 3.mp4 2.22 MB
32 Convolutional Neural Networks/243 CNN in Python - Step 4.mp4 27.18 MB
32 Convolutional Neural Networks/244 CNN in Python - Step 5.mp4 9.91 MB
32 Convolutional Neural Networks/245 CNN in Python - Step 6.mp4 9.7 MB
32 Convolutional Neural Networks/246 CNN in Python - Step 7.mp4 12.93 MB
32 Convolutional Neural Networks/247 CNN in Python - Step 8.mp4 6.79 MB
32 Convolutional Neural Networks/248 CNN in Python - Step 9.mp4 46.85 MB
32 Convolutional Neural Networks/249 CNN in Python - Step 10.mp4 20.6 MB
34 Principal Component Analysis (PCA)/252 How to get the dataset.mp4 11.71 MB
34 Principal Component Analysis (PCA)/253 PCA in Python - Step 1.mp4 31.95 MB
34 Principal Component Analysis (PCA)/254 PCA in Python - Step 2.mp4 22.07 MB
34 Principal Component Analysis (PCA)/255 PCA in Python - Step 3.mp4 25.51 MB
34 Principal Component Analysis (PCA)/256 PCA in R - Step 1.mp4 30.65 MB
34 Principal Component Analysis (PCA)/257 PCA in R - Step 2.mp4 29.02 MB
34 Principal Component Analysis (PCA)/258 PCA in R - Step 3.mp4 36.73 MB
35 Linear Discriminant Analysis (LDA)/259 How to get the dataset.mp4 11.71 MB
35 Linear Discriminant Analysis (LDA)/260 LDA in Python.mp4 45.42 MB
35 Linear Discriminant Analysis (LDA)/261 LDA in R.mp4 51.29 MB
36 Kernel PCA/262 How to get the dataset.mp4 11.71 MB
36 Kernel PCA/263 Kernel PCA in Python.mp4 33.38 MB
36 Kernel PCA/264 Kernel PCA in R.mp4 56.57 MB
38 Model Selection/266 How to get the dataset.mp4 11.71 MB
38 Model Selection/267 k-Fold Cross Validation in Python.mp4 32.83 MB
38 Model Selection/268 k-Fold Cross Validation in R.mp4 43.63 MB
38 Model Selection/269 Grid Search in Python - Step 1.mp4 38.21 MB
38 Model Selection/270 Grid Search in Python - Step 2.mp4 29.51 MB
38 Model Selection/271 Grid Search in R.mp4 35.54 MB
39 XGBoost/272 How to get the dataset.mp4 11.71 MB
39 XGBoost/273 XGBoost in Python - Step 1.mp4 21.39 MB
39 XGBoost/274 XGBoost in Python - Step 2.mp4 31.97 MB
39 XGBoost/275 XGBoost in R.mp4 47.26 MB
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