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[UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science
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2019-6-9 09:24
2024-9-5 14:44
200
6.82 GB
261
磁力链接
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UdemyCourseDownloader
Machine
Learning
A-Z™
Hands-On
Python
&
R
In
Data
Science
文件列表
12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4
93.76MB
01 Welcome to the course/001 Applications of Machine Learning.mp4
9.81MB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4
14.48MB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows).mp4
23.96MB
01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows).mp4
23.21MB
02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing.mp4
3.52MB
02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset.mp4
21.15MB
02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries.mp4
13.56MB
02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset.mp4
28.64MB
02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data.mp4
32.16MB
02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data.mp4
52.88MB
02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set.mp4
50.91MB
02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling.mp4
44.59MB
02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template.mp4
25.86MB
04 Simple Linear Regression/021 How to get the dataset.mp4
11.71MB
04 Simple Linear Regression/022 Dataset Business Problem Description.mp4
7.77MB
04 Simple Linear Regression/023 Simple Linear Regression Intuition - Step 1.mp4
10.52MB
04 Simple Linear Regression/024 Simple Linear Regression Intuition - Step 2.mp4
5.99MB
04 Simple Linear Regression/025 Simple Linear Regression in Python - Step 1.mp4
27.92MB
04 Simple Linear Regression/026 Simple Linear Regression in Python - Step 2.mp4
24.62MB
04 Simple Linear Regression/027 Simple Linear Regression in Python - Step 3.mp4
20.55MB
04 Simple Linear Regression/028 Simple Linear Regression in Python - Step 4.mp4
39.37MB
04 Simple Linear Regression/029 Simple Linear Regression in R - Step 1.mp4
11.52MB
04 Simple Linear Regression/030 Simple Linear Regression in R - Step 2.mp4
24.87MB
04 Simple Linear Regression/031 Simple Linear Regression in R - Step 3.mp4
11.42MB
04 Simple Linear Regression/032 Simple Linear Regression in R - Step 4.mp4
49.16MB
05 Multiple Linear Regression/033 How to get the dataset.mp4
11.71MB
05 Multiple Linear Regression/034 Dataset Business Problem Description.mp4
12.56MB
05 Multiple Linear Regression/035 Multiple Linear Regression Intuition - Step 1.mp4
2MB
05 Multiple Linear Regression/036 Multiple Linear Regression Intuition - Step 2.mp4
2.03MB
05 Multiple Linear Regression/037 Multiple Linear Regression Intuition - Step 3.mp4
16.59MB
05 Multiple Linear Regression/038 Multiple Linear Regression Intuition - Step 4.mp4
5.34MB
05 Multiple Linear Regression/040 Multiple Linear Regression Intuition - Step 5.mp4
32.8MB
05 Multiple Linear Regression/041 Multiple Linear Regression in Python - Step 1.mp4
52.18MB
05 Multiple Linear Regression/042 Multiple Linear Regression in Python - Step 2.mp4
9.84MB
05 Multiple Linear Regression/043 Multiple Linear Regression in Python - Step 3.mp4
25.48MB
05 Multiple Linear Regression/044 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4
23.82MB
05 Multiple Linear Regression/045 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4
59.14MB
05 Multiple Linear Regression/046 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4
54.26MB
05 Multiple Linear Regression/048 Multiple Linear Regression in R - Step 1.mp4
23.44MB
05 Multiple Linear Regression/049 Multiple Linear Regression in R - Step 2.mp4
45.22MB
05 Multiple Linear Regression/050 Multiple Linear Regression in R - Step 3.mp4
13.85MB
05 Multiple Linear Regression/051 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp4
50.78MB
05 Multiple Linear Regression/052 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4
21.95MB
06 Polynomial Regression/054 Polynomial Regression Intuition.mp4
9.44MB
06 Polynomial Regression/055 How to get the dataset.mp4
11.71MB
06 Polynomial Regression/056 Polynomial Regression in Python - Step 1.mp4
31.64MB
06 Polynomial Regression/057 Polynomial Regression in Python - Step 2.mp4
35.11MB
06 Polynomial Regression/058 Polynomial Regression in Python - Step 3.mp4
54.5MB
06 Polynomial Regression/059 Polynomial Regression in Python - Step 4.mp4
17.65MB
06 Polynomial Regression/060 Python Regression Template.mp4
36.78MB
06 Polynomial Regression/061 Polynomial Regression in R - Step 1.mp4
21.21MB
06 Polynomial Regression/062 Polynomial Regression in R - Step 2.mp4
32.28MB
06 Polynomial Regression/063 Polynomial Regression in R - Step 3.mp4
54.8MB
06 Polynomial Regression/064 Polynomial Regression in R - Step 4.mp4
28.52MB
06 Polynomial Regression/065 R Regression Template.mp4
31.33MB
07 Support Vector Regression (SVR)/066 How to get the dataset.mp4
11.71MB
07 Support Vector Regression (SVR)/067 SVR Intuition.mp4
46.59MB
07 Support Vector Regression (SVR)/068 SVR in Python.mp4
60.22MB
07 Support Vector Regression (SVR)/069 SVR in R.mp4
33.73MB
08 Decision Tree Regression/070 Decision Tree Regression Intuition.mp4
25.33MB
08 Decision Tree Regression/071 How to get the dataset.mp4
11.71MB
08 Decision Tree Regression/072 Decision Tree Regression in Python.mp4
43.44MB
08 Decision Tree Regression/073 Decision Tree Regression in R.mp4
56.23MB
09 Random Forest Regression/074 Random Forest Regression Intuition.mp4
15.65MB
09 Random Forest Regression/075 How to get the dataset.mp4
11.71MB
09 Random Forest Regression/076 Random Forest Regression in Python.mp4
52.69MB
09 Random Forest Regression/077 Random Forest Regression in R.mp4
51.86MB
10 Evaluating Regression Models Performance/078 R-Squared Intuition.mp4
9.8MB
10 Evaluating Regression Models Performance/079 Adjusted R-Squared Intuition.mp4
21.41MB
10 Evaluating Regression Models Performance/080 Evaluating Regression Models Performance - Homeworks Final Part.mp4
28.35MB
10 Evaluating Regression Models Performance/081 Interpreting Linear Regression Coefficients.mp4
27.38MB
12 Logistic Regression/084 Logistic Regression Intuition.mp4
29.17MB
12 Logistic Regression/085 How to get the dataset.mp4
11.71MB
12 Logistic Regression/086 Logistic Regression in Python - Step 1.mp4
16.84MB
12 Logistic Regression/087 Logistic Regression in Python - Step 2.mp4
11.1MB
12 Logistic Regression/088 Logistic Regression in Python - Step 3.mp4
7.98MB
12 Logistic Regression/089 Logistic Regression in Python - Step 4.mp4
13.87MB
12 Logistic Regression/090 Logistic Regression in Python - Step 5.mp4
53.15MB
12 Logistic Regression/091 Python Classification Template.mp4
17.58MB
12 Logistic Regression/092 Logistic Regression in R - Step 1.mp4
15.72MB
12 Logistic Regression/093 Logistic Regression in R - Step 2.mp4
14.85MB
12 Logistic Regression/094 Logistic Regression in R - Step 3.mp4
27.44MB
12 Logistic Regression/095 Logistic Regression in R - Step 4.mp4
11.73MB
12 Logistic Regression/097 R Classification Template.mp4
17.5MB
13 K-Nearest Neighbors (K-NN)/098 K-Nearest Neighbor Intuition.mp4
10.48MB
13 K-Nearest Neighbors (K-NN)/099 How to get the dataset.mp4
11.71MB
13 K-Nearest Neighbors (K-NN)/100 K-NN in Python.mp4
46.98MB
13 K-Nearest Neighbors (K-NN)/101 K-NN in R.mp4
55.77MB
14 Support Vector Machine (SVM)/102 SVM Intuition.mp4
19.92MB
14 Support Vector Machine (SVM)/103 How to get the dataset.mp4
11.71MB
14 Support Vector Machine (SVM)/104 SVM in Python.mp4
41.71MB
14 Support Vector Machine (SVM)/105 SVM in R.mp4
65.31MB
15 Kernel SVM/106 Kernel SVM Intuition.mp4
6.42MB
15 Kernel SVM/107 Mapping to a higher dimension.mp4
15.39MB
15 Kernel SVM/108 The Kernel Trick.mp4
34.72MB
15 Kernel SVM/109 Types of Kernel Functions.mp4
15.71MB
15 Kernel SVM/110 How to get the dataset.mp4
11.71MB
15 Kernel SVM/111 Kernel SVM in Python.mp4
54.86MB
15 Kernel SVM/112 Kernel SVM in R.mp4
52.82MB
16 Naive Bayes/113 Bayes Theorem.mp4
50.43MB
16 Naive Bayes/114 Naive Bayes Intuition.mp4
31.1MB
16 Naive Bayes/115 Naive Bayes Intuition (Challenge Reveal).mp4
13.27MB
16 Naive Bayes/116 Naive Bayes Intuition (Extras).mp4
18.94MB
16 Naive Bayes/117 How to get the dataset.mp4
11.71MB
16 Naive Bayes/118 Naive Bayes in Python.mp4
31.14MB
16 Naive Bayes/119 Naive Bayes in R.mp4
49.79MB
17 Decision Tree Classification/120 Decision Tree Classification Intuition.mp4
21.63MB
17 Decision Tree Classification/121 How to get the dataset.mp4
11.71MB
17 Decision Tree Classification/122 Decision Tree Classification in Python.mp4
38.85MB
17 Decision Tree Classification/123 Decision Tree Classification in R.mp4
68.18MB
18 Random Forest Classification/124 Random Forest Classification Intuition.mp4
25.66MB
18 Random Forest Classification/125 How to get the dataset.mp4
11.71MB
18 Random Forest Classification/126 Random Forest Classification in Python.mp4
62.04MB
18 Random Forest Classification/127 Random Forest Classification in R.mp4
64.11MB
19 Evaluating Classification Models Performance/128 False Positives False Negatives.mp4
15.12MB
19 Evaluating Classification Models Performance/129 Confusion Matrix.mp4
8.91MB
19 Evaluating Classification Models Performance/130 Accuracy Paradox.mp4
4.21MB
19 Evaluating Classification Models Performance/131 CAP Curve.mp4
20.31MB
19 Evaluating Classification Models Performance/132 CAP Curve Analysis.mp4
12.94MB
21 K-Means Clustering/135 K-Means Clustering Intuition.mp4
29.97MB
21 K-Means Clustering/136 K-Means Random Initialization Trap.mp4
15.36MB
21 K-Means Clustering/137 K-Means Selecting The Number Of Clusters.mp4
25.68MB
21 K-Means Clustering/138 How to get the dataset.mp4
11.71MB
21 K-Means Clustering/139 K-Means Clustering in Python.mp4
49.81MB
21 K-Means Clustering/140 K-Means Clustering in R.mp4
36.91MB
22 Hierarchical Clustering/141 Hierarchical Clustering Intuition.mp4
16.52MB
22 Hierarchical Clustering/142 Hierarchical Clustering How Dendrograms Work.mp4
17.46MB
22 Hierarchical Clustering/143 Hierarchical Clustering Using Dendrograms.mp4
22.81MB
22 Hierarchical Clustering/144 How to get the dataset.mp4
11.71MB
22 Hierarchical Clustering/145 HC in Python - Step 1.mp4
13.77MB
22 Hierarchical Clustering/146 HC in Python - Step 2.mp4
15.51MB
22 Hierarchical Clustering/147 HC in Python - Step 3.mp4
16.17MB
22 Hierarchical Clustering/148 HC in Python - Step 4.mp4
21.32MB
22 Hierarchical Clustering/149 HC in Python - Step 5.mp4
9.92MB
22 Hierarchical Clustering/150 HC in R - Step 1.mp4
8.59MB
22 Hierarchical Clustering/151 HC in R - Step 2.mp4
13.87MB
22 Hierarchical Clustering/152 HC in R - Step 3.mp4
9.95MB
22 Hierarchical Clustering/153 HC in R - Step 4.mp4
10.17MB
22 Hierarchical Clustering/154 HC in R - Step 5.mp4
13.68MB
24 Apriori/157 Apriori Intuition.mp4
35.02MB
24 Apriori/158 How to get the dataset.mp4
11.71MB
24 Apriori/159 Apriori in R - Step 1.mp4
52.83MB
24 Apriori/160 Apriori in R - Step 2.mp4
38.81MB
24 Apriori/161 Apriori in R - Step 3.mp4
56.51MB
24 Apriori/162 Apriori in Python - Step 1.mp4
47.41MB
24 Apriori/163 Apriori in Python - Step 2.mp4
37.32MB
24 Apriori/164 Apriori in Python - Step 3.mp4
35.3MB
25 Eclat/165 Eclat Intuition.mp4
10.65MB
25 Eclat/166 How to get the dataset.mp4
11.71MB
25 Eclat/167 Eclat in R.mp4
25.26MB
27 Upper Confidence Bound (UCB)/169 The Multi-Armed Bandit Problem.mp4
30.19MB
27 Upper Confidence Bound (UCB)/170 Upper Confidence Bound (UCB) Intuition.mp4
29.32MB
27 Upper Confidence Bound (UCB)/171 How to get the dataset.mp4
11.71MB
27 Upper Confidence Bound (UCB)/172 Upper Confidence Bound in Python - Step 1.mp4
39.01MB
27 Upper Confidence Bound (UCB)/173 Upper Confidence Bound in Python - Step 2.mp4
44.49MB
27 Upper Confidence Bound (UCB)/174 Upper Confidence Bound in Python - Step 3.mp4
53.71MB
27 Upper Confidence Bound (UCB)/175 Upper Confidence Bound in Python - Step 4.mp4
12.44MB
27 Upper Confidence Bound (UCB)/176 Upper Confidence Bound in R - Step 1.mp4
34.01MB
27 Upper Confidence Bound (UCB)/177 Upper Confidence Bound in R - Step 2.mp4
34.1MB
27 Upper Confidence Bound (UCB)/178 Upper Confidence Bound in R - Step 3.mp4
57.84MB
27 Upper Confidence Bound (UCB)/179 Upper Confidence Bound in R - Step 4.mp4
9.55MB
28 Thompson Sampling/180 Thompson Sampling Intuition.mp4
37.27MB
28 Thompson Sampling/181 Algorithm Comparison UCB vs Thompson Sampling.mp4
14.08MB
28 Thompson Sampling/182 How to get the dataset.mp4
11.71MB
28 Thompson Sampling/183 Thompson Sampling in Python - Step 1.mp4
55.52MB
28 Thompson Sampling/184 Thompson Sampling in Python - Step 2.mp4
11.22MB
28 Thompson Sampling/185 Thompson Sampling in R - Step 1.mp4
51.04MB
28 Thompson Sampling/186 Thompson Sampling in R - Step 2.mp4
9.56MB
29 -------------------- Part 7 Natural Language Processing --------------------/188 Natural Language Processing Intuition.mp4
29.69MB
29 -------------------- Part 7 Natural Language Processing --------------------/189 How to get the dataset.mp4
11.71MB
29 -------------------- Part 7 Natural Language Processing --------------------/190 Natural Language Processing in Python - Step 1.mp4
46.06MB
29 -------------------- Part 7 Natural Language Processing --------------------/191 Natural Language Processing in Python - Step 2.mp4
27.44MB
29 -------------------- Part 7 Natural Language Processing --------------------/192 Natural Language Processing in Python - Step 3.mp4
4.16MB
29 -------------------- Part 7 Natural Language Processing --------------------/193 Natural Language Processing in Python - Step 4.mp4
29.75MB
29 -------------------- Part 7 Natural Language Processing --------------------/194 Natural Language Processing in Python - Step 5.mp4
18.8MB
29 -------------------- Part 7 Natural Language Processing --------------------/195 Natural Language Processing in Python - Step 6.mp4
8.32MB
29 -------------------- Part 7 Natural Language Processing --------------------/196 Natural Language Processing in Python - Step 7.mp4
22.13MB
29 -------------------- Part 7 Natural Language Processing --------------------/197 Natural Language Processing in Python - Step 8.mp4
52.02MB
29 -------------------- Part 7 Natural Language Processing --------------------/198 Natural Language Processing in Python - Step 9.mp4
18.9MB
29 -------------------- Part 7 Natural Language Processing --------------------/199 Natural Language Processing in Python - Step 10.mp4
32.91MB
29 -------------------- Part 7 Natural Language Processing --------------------/201 Natural Language Processing in R - Step 1.mp4
51.2MB
29 -------------------- Part 7 Natural Language Processing --------------------/202 Natural Language Processing in R - Step 2.mp4
21.66MB
29 -------------------- Part 7 Natural Language Processing --------------------/203 Natural Language Processing in R - Step 3.mp4
16.89MB
29 -------------------- Part 7 Natural Language Processing --------------------/204 Natural Language Processing in R - Step 4.mp4
8.24MB
29 -------------------- Part 7 Natural Language Processing --------------------/205 Natural Language Processing in R - Step 5.mp4
5.78MB
29 -------------------- Part 7 Natural Language Processing --------------------/206 Natural Language Processing in R - Step 6.mp4
16.09MB
29 -------------------- Part 7 Natural Language Processing --------------------/207 Natural Language Processing in R - Step 7.mp4
9.59MB
29 -------------------- Part 7 Natural Language Processing --------------------/208 Natural Language Processing in R - Step 8.mp4
17.23MB
29 -------------------- Part 7 Natural Language Processing --------------------/209 Natural Language Processing in R - Step 9.mp4
37.69MB
29 -------------------- Part 7 Natural Language Processing --------------------/210 Natural Language Processing in R - Step 10.mp4
54.14MB
30 -------------------- Part 8 Deep Learning --------------------/213 What is Deep Learning.mp4
31.31MB
31 Artificial Neural Networks/214 Plan of attack.mp4
4.74MB
31 Artificial Neural Networks/215 The Neuron.mp4
29.86MB
31 Artificial Neural Networks/216 The Activation Function.mp4
14.75MB
31 Artificial Neural Networks/217 How do Neural Networks work.mp4
23.53MB
31 Artificial Neural Networks/218 How do Neural Networks learn.mp4
26.55MB
31 Artificial Neural Networks/219 Gradient Descent.mp4
18.53MB
31 Artificial Neural Networks/220 Stochastic Gradient Descent.mp4
16.82MB
31 Artificial Neural Networks/221 Backpropagation.mp4
10.92MB
31 Artificial Neural Networks/222 How to get the dataset.mp4
11.71MB
31 Artificial Neural Networks/223 Business Problem Description.mp4
29.23MB
31 Artificial Neural Networks/224 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp4
37.45MB
31 Artificial Neural Networks/225 ANN in Python - Step 2.mp4
84.87MB
31 Artificial Neural Networks/226 ANN in Python - Step 3.mp4
14.62MB
31 Artificial Neural Networks/227 ANN in Python - Step 4.mp4
9.69MB
31 Artificial Neural Networks/228 ANN in Python - Step 5.mp4
39.36MB
31 Artificial Neural Networks/229 ANN in Python - Step 6.mp4
11.93MB
31 Artificial Neural Networks/230 ANN in Python - Step 7.mp4
14.92MB
31 Artificial Neural Networks/231 ANN in Python - Step 8.mp4
34.03MB
31 Artificial Neural Networks/232 ANN in Python - Step 9.mp4
28.47MB
31 Artificial Neural Networks/233 ANN in Python - Step 10.mp4
28.42MB
31 Artificial Neural Networks/234 ANN in R - Step 1.mp4
49.89MB
31 Artificial Neural Networks/235 ANN in R - Step 2.mp4
18.24MB
31 Artificial Neural Networks/236 ANN in R - Step 3.mp4
37.85MB
31 Artificial Neural Networks/237 ANN in R - Step 4 (Last step).mp4
43.75MB
32 Convolutional Neural Networks/238 Plan of attack.mp4
5.9MB
32 Convolutional Neural Networks/239 What are convolutional neural networks.mp4
29.5MB
32 Convolutional Neural Networks/240 Step 1 - Convolution Operation.mp4
31.02MB
32 Convolutional Neural Networks/241 Step 1(b) - ReLU Layer.mp4
14.09MB
32 Convolutional Neural Networks/242 Step 2 - Pooling.mp4
40.24MB
32 Convolutional Neural Networks/243 Step 3 - Flattening.mp4
3.27MB
32 Convolutional Neural Networks/244 Step 4 - Full Connection.mp4
42.74MB
32 Convolutional Neural Networks/245 Summary.mp4
7.91MB
32 Convolutional Neural Networks/246 Softmax Cross-Entropy.mp4
33.23MB
32 Convolutional Neural Networks/247 How to get the dataset.mp4
11.71MB
32 Convolutional Neural Networks/248 CNN in Python - Step 1.mp4
30.6MB
32 Convolutional Neural Networks/249 CNN in Python - Step 2.mp4
7.2MB
32 Convolutional Neural Networks/250 CNN in Python - Step 3.mp4
2.8MB
32 Convolutional Neural Networks/251 CNN in Python - Step 4.mp4
34.62MB
32 Convolutional Neural Networks/252 CNN in Python - Step 5.mp4
12.38MB
32 Convolutional Neural Networks/253 CNN in Python - Step 6.mp4
11.94MB
32 Convolutional Neural Networks/254 CNN in Python - Step 7.mp4
16.65MB
32 Convolutional Neural Networks/255 CNN in Python - Step 8.mp4
8.95MB
32 Convolutional Neural Networks/256 CNN in Python - Step 9.mp4
62.41MB
32 Convolutional Neural Networks/257 CNN in Python - Step 10.mp4
27.74MB
34 Principal Component Analysis (PCA)/260 Principal Component Analysis (PCA) Intuition.mp4
32.11MB
34 Principal Component Analysis (PCA)/261 How to get the dataset.mp4
11.71MB
34 Principal Component Analysis (PCA)/262 PCA in Python - Step 1.mp4
31.95MB
34 Principal Component Analysis (PCA)/263 PCA in Python - Step 2.mp4
22.07MB
34 Principal Component Analysis (PCA)/264 PCA in Python - Step 3.mp4
25.51MB
34 Principal Component Analysis (PCA)/265 PCA in R - Step 1.mp4
30.65MB
34 Principal Component Analysis (PCA)/266 PCA in R - Step 2.mp4
29.02MB
34 Principal Component Analysis (PCA)/267 PCA in R - Step 3.mp4
36.73MB
35 Linear Discriminant Analysis (LDA)/268 Linear Discriminant Analysis (LDA) Intuition.mp4
26.98MB
35 Linear Discriminant Analysis (LDA)/269 How to get the dataset.mp4
11.71MB
35 Linear Discriminant Analysis (LDA)/270 LDA in Python.mp4
45.42MB
35 Linear Discriminant Analysis (LDA)/271 LDA in R.mp4
51.29MB
36 Kernel PCA/272 How to get the dataset.mp4
11.71MB
36 Kernel PCA/273 Kernel PCA in Python.mp4
33.38MB
36 Kernel PCA/274 Kernel PCA in R.mp4
56.57MB
38 Model Selection/276 How to get the dataset.mp4
11.71MB
38 Model Selection/277 k-Fold Cross Validation in Python.mp4
32.83MB
38 Model Selection/278 k-Fold Cross Validation in R.mp4
43.63MB
38 Model Selection/279 Grid Search in Python - Step 1.mp4
38.21MB
38 Model Selection/280 Grid Search in Python - Step 2.mp4
29.51MB
38 Model Selection/281 Grid Search in R.mp4
35.54MB
39 XGBoost/282 How to get the dataset.mp4
11.71MB
39 XGBoost/283 XGBoost in Python - Step 1.mp4
21.39MB
39 XGBoost/284 XGBoost in Python - Step 2.mp4
31.97MB
39 XGBoost/285 XGBoost in R.mp4
47.26MB
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