FreeTutorials Us machinelearning | 7375004A4F5A8E973E54F1061383A4EB768D4EDA

FreeTutorials Us machinelearning

Name	[FreeTutorials.Us] machinelearning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.2 GB
Total Files	286
Hash	7375004A4F5A8E973E54F1061383A4EB768D4EDA

/01 Welcome to the course/
001 Applications of Machine Learning.mp4	10.3 MB
002 Why Machine Learning is the Future.mp4	15.2 MB
003 Installing R and R Studio MAC Windows.mp4	24.3 MB
004 Installing Python and Anaconda MAC Windows.mp4	25.1 MB
005 BONUS Meet your instructors.html	1.4 KB
/02 -------------------------- Part 1 Data Preprocessing --------------------------/
006 Welcome to Part 1 - Data Preprocessing.mp4	3.7 MB
007 Get the dataset.mp4	22.2 MB
008 Importing the Libraries.mp4	14.2 MB
009 Importing the Dataset.mp4	30.0 MB
010 For Python learners summary of Object-oriented programming classes objects.html	1.8 KB
011 Missing Data.mp4	41.2 MB
012 Categorical Data.mp4	55.4 MB
013 Splitting the Dataset into the Training set and Test set.mp4	53.4 MB
014 Feature Scaling.mp4	46.8 MB
015 And here is our Data Preprocessing Template.mp4	27.1 MB
/quizzes/
001 Data Preprocessing.html	4.7 KB
/03 ------------------------------ Part 2 Regression ------------------------------/
016 Welcome to Part 2 - Regression.html	1.2 KB
/04 Simple Linear Regression/
017 How to get the dataset.mp4	12.3 MB
018 Dataset Business Problem Description.mp4	8.1 MB
019 Simple Linear Regression Intuition - Step 1.mp4	11.0 MB
020 Simple Linear Regression Intuition - Step 2.mp4	6.3 MB
021 Simple Linear Regression in Python - Step 1.mp4	29.3 MB
022 Simple Linear Regression in Python - Step 2.mp4	25.8 MB
023 Simple Linear Regression in Python - Step 3.mp4	21.5 MB
024 Simple Linear Regression in Python - Step 4.mp4	41.3 MB
025 Simple Linear Regression in R - Step 1.mp4	12.1 MB
026 Simple Linear Regression in R - Step 2.mp4	26.1 MB
027 Simple Linear Regression in R - Step 3.mp4	12.0 MB
028 Simple Linear Regression in R - Step 4.mp4	51.5 MB
/quizzes/
002 Simple Linear Regression.html	4.6 KB
/05 Multiple Linear Regression/
029 How to get the dataset.mp4	12.3 MB
030 Dataset Business Problem Description.mp4	13.2 MB
031 Multiple Linear Regression Intuition - Step 1.mp4	2.1 MB
032 Multiple Linear Regression Intuition - Step 2.mp4	2.1 MB
033 Multiple Linear Regression Intuition - Step 3.mp4	17.4 MB
034 Multiple Linear Regression Intuition - Step 4.mp4	5.6 MB
035 Multiple Linear Regression Intuition - Step 5.mp4	34.4 MB
036 Multiple Linear Regression in Python - Step 1.mp4	54.7 MB
037 Multiple Linear Regression in Python - Step 2.mp4	10.3 MB
038 Multiple Linear Regression in Python - Step 3.mp4	26.7 MB
039 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4	57.2 MB
040 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4	62.0 MB
041 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4	56.9 MB
042 Multiple Linear Regression in R - Step 1.mp4	24.6 MB
043 Multiple Linear Regression in R - Step 2.mp4	47.4 MB
044 Multiple Linear Regression in R - Step 3.mp4	14.5 MB
045 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp4	53.3 MB
046 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4	23.0 MB
/quizzes/
003 Multiple Linear Regression.html	4.8 KB
/06 Polynomial Regression/
047 Polynomial Regression Intuition.mp4	9.9 MB
048 How to get the dataset.mp4	12.3 MB
049 Polynomial Regression in Python - Step 1.mp4	33.2 MB
050 Polynomial Regression in Python - Step 2.mp4	36.8 MB
051 Polynomial Regression in Python - Step 3.mp4	57.1 MB
052 Polynomial Regression in Python - Step 4.mp4	18.5 MB
053 Python Regression Template.mp4	38.6 MB
054 Polynomial Regression in R - Step 1.mp4	22.2 MB
055 Polynomial Regression in R - Step 2.mp4	33.9 MB
056 Polynomial Regression in R - Step 3.mp4	57.5 MB
057 Polynomial Regression in R - Step 4.mp4	29.9 MB
058 R Regression Template.mp4	32.9 MB
/07 Support Vector Regression SVR/
059 How to get the dataset.mp4	12.3 MB
060 SVR in Python.mp4	63.1 MB
061 SVR in R.mp4	35.4 MB
/08 Decision Tree Regression/
062 Decision Tree Regression Intuition.mp4	26.6 MB
063 How to get the dataset.mp4	12.3 MB
064 Decision Tree Regression in Python.mp4	45.5 MB
065 Decision Tree Regression in R.mp4	59.0 MB
/09 Random Forest Regression/
066 Random Forest Regression Intuition.mp4	16.4 MB
067 How to get the dataset.mp4	12.3 MB
068 Random Forest Regression in Python.mp4	55.3 MB
069 Random Forest Regression in R.mp4	54.4 MB
/10 Evaluating Regression Models Performance/
070 R-Squared Intuition.mp4	10.3 MB
071 Adjusted R-Squared Intuition.mp4	22.5 MB
072 Evaluating Regression Models Performance - Homeworks Final Part.mp4	29.7 MB
073 Interpreting Linear Regression Coefficients.mp4	28.7 MB
074 Conclusion of Part 2 - Regression.html	3.4 KB
/11 ---------------------------- Part 3 Classification ----------------------------/
075 Welcome to Part 3 - Classification.html	1.1 KB
/12 Logistic Regression/
076 Logistic Regression Intuition.mp4	30.6 MB
077 How to get the dataset.mp4	12.3 MB
078 Logistic Regression in Python - Step 1.mp4	17.7 MB
079 Logistic Regression in Python - Step 2.mp4	11.6 MB
080 Logistic Regression in Python - Step 3.mp4	8.4 MB
081 Logistic Regression in Python - Step 4.mp4	14.5 MB
082 Logistic Regression in Python - Step 5.mp4	55.7 MB
083 Python Classification Template.mp4	18.4 MB
084 Logistic Regression in R - Step 1.mp4	16.5 MB
085 Logistic Regression in R - Step 2.mp4	15.6 MB
086 Logistic Regression in R - Step 3.mp4	28.8 MB
087 Logistic Regression in R - Step 4.mp4	12.3 MB
088 Logistic Regression in R - Step 5.mp4	98.3 MB
089 R Classification Template.mp4	18.4 MB
/quizzes/
004 Logistic Regression.html	4.2 KB
/13 K-Nearest Neighbors K-NN/
090 K-Nearest Neighbor Intuition.mp4	11.0 MB
091 How to get the dataset.mp4	12.3 MB
092 K-NN in Python.mp4	49.3 MB
093 K-NN in R.mp4	58.5 MB
/quizzes/
005 K-Nearest Neighbor.html	4.2 KB
/14 Support Vector Machine SVM/
094 SVM Intuition.mp4	20.9 MB
095 How to get the dataset.mp4	12.3 MB
096 SVM in Python.mp4	43.7 MB
097 SVM in R.mp4	68.5 MB
/.../097 SVM in R/
SVM.zip	8.5 KB
/15 Kernel SVM/
098 Kernel SVM Intuition.mp4	6.7 MB
099 Mapping to a higher dimension.mp4	16.1 MB
100 The Kernel Trick.mp4	36.4 MB
101 Types of Kernel Functions.mp4	16.5 MB
102 How to get the dataset.mp4	12.3 MB
103 Kernel SVM in Python.mp4	57.5 MB
104 Kernel SVM in R.mp4	55.4 MB
/16 Naive Bayes/
105 Bayes Theorem.mp4	52.9 MB
106 Naive Bayes Intuition.mp4	32.6 MB
107 Naive Bayes Intuition Challenge Reveal.mp4	13.9 MB
108 Naive Bayes Intuition Extras.mp4	19.9 MB
109 How to get the dataset.mp4	12.3 MB
110 Naive Bayes in Python.mp4	32.7 MB
111 Naive Bayes in R.mp4	52.2 MB
/17 Decision Tree Classification/
112 Decision Tree Classification Intuition.mp4	22.7 MB
113 How to get the dataset.mp4	12.3 MB
114 Decision Tree Classification in Python.mp4	40.7 MB
115 Decision Tree Classification in R.mp4	71.5 MB
/18 Random Forest Classification/
116 Random Forest Classification Intuition.mp4	26.9 MB
117 How to get the dataset.mp4	12.3 MB
118 Random Forest Classification in Python.mp4	65.1 MB
119 Random Forest Classification in R.mp4	67.2 MB
/19 Evaluating Classification Models Performance/
120 False Positives False Negatives.mp4	15.9 MB
121 Confusion Matrix.mp4	9.3 MB
122 Accuracy Paradox.mp4	4.4 MB
123 CAP Curve.mp4	21.3 MB
124 CAP Curve Analysis.mp4	13.6 MB
125 Conclusion of Part 3 - Classification.html	4.0 KB
/20 ---------------------------- Part 4 Clustering ----------------------------/
126 Welcome to Part 4 - Clustering.html	1.0 KB
/21 K-Means Clustering/
127 K-Means Clustering Intuition.mp4	31.4 MB
128 K-Means Random Initialization Trap.mp4	16.1 MB
129 K-Means Selecting The Number Of Clusters.mp4	26.9 MB
130 How to get the dataset.mp4	12.3 MB
131 K-Means Clustering in Python.mp4	52.2 MB
132 K-Means Clustering in R.mp4	38.7 MB
/quizzes/
006 K-Means Clustering.html	4.2 KB
/22 Hierarchical Clustering/
133 Hierarchical Clustering Intuition.mp4	17.3 MB
134 Hierarchical Clustering How Dendrograms Work.mp4	18.3 MB
135 Hierarchical Clustering Using Dendrograms.mp4	23.9 MB
136 How to get the dataset.mp4	12.3 MB
137 HC in Python - Step 1.mp4	14.4 MB
138 HC in Python - Step 2.mp4	16.3 MB
139 HC in Python - Step 3.mp4	17.0 MB
140 HC in Python - Step 4.mp4	22.4 MB
141 HC in Python - Step 5.mp4	10.4 MB
142 HC in R - Step 1.mp4	9.0 MB
143 HC in R - Step 2.mp4	14.5 MB
144 HC in R - Step 3.mp4	10.4 MB
145 HC in R - Step 4.mp4	10.7 MB
146 HC in R - Step 5.mp4	14.3 MB
147 Conclusion of Part 4 - Clustering.html	0.8 KB
/quizzes/
007 Hierarchical Clustering.html	4.5 KB
/23 ---------------------- Part 5 Association Rule Learning ----------------------/
148 Welcome to Part 5 - Association Rule Learning.html	0.7 KB
/24 Apriori/
149 Apriori Intuition.mp4	36.7 MB
150 How to get the dataset.mp4	12.3 MB
151 Apriori in R - Step 1.mp4	55.4 MB
152 Apriori in R - Step 2.mp4	40.7 MB
153 Apriori in R - Step 3.mp4	59.3 MB
154 Apriori in Python - Step 1.mp4	49.7 MB
155 Apriori in Python - Step 2.mp4	39.1 MB
156 Apriori in Python - Step 3.mp4	37.0 MB
/25 Eclat/
157 Eclat Intuition.mp4	11.2 MB
158 How to get the dataset.mp4	12.3 MB
159 Eclat in R.mp4	26.5 MB
/.../159 Eclat in R/
Eclat.zip	49.7 KB
/26 ------------------------ Part 6 Reinforcement Learning ------------------------/
160 Welcome to Part 6 - Reinforcement Learning.html	1.1 KB
/27 Upper Confidence Bound UCB/
161 The Multi-Armed Bandit Problem.mp4	31.7 MB
162 Upper Confidence Bound UCB Intuition.mp4	30.7 MB
163 How to get the dataset.mp4	12.3 MB
164 Upper Confidence Bound in Python - Step 1.mp4	40.9 MB
165 Upper Confidence Bound in Python - Step 2.mp4	46.7 MB
166 Upper Confidence Bound in Python - Step 3.mp4	56.3 MB
167 Upper Confidence Bound in Python - Step 4.mp4	13.0 MB
168 Upper Confidence Bound in R - Step 1.mp4	35.7 MB
169 Upper Confidence Bound in R - Step 2.mp4	35.8 MB
170 Upper Confidence Bound in R - Step 3.mp4	60.6 MB
171 Upper Confidence Bound in R - Step 4.mp4	10.0 MB
/28 Thompson Sampling/
172 Thompson Sampling Intuition.mp4	39.1 MB
173 Algorithm Comparison UCB vs Thompson Sampling.mp4	14.8 MB
174 How to get the dataset.mp4	12.3 MB
175 Thompson Sampling in Python - Step 1.mp4	58.2 MB
176 Thompson Sampling in Python - Step 2.mp4	11.8 MB
177 Thompson Sampling in R - Step 1.mp4	53.5 MB
178 Thompson Sampling in R - Step 2.mp4	10.0 MB
/29 --------------------- Part 7 Natural Language Processing ---------------------/
179 Welcome to Part 7 - Natural Language Processing.html	2.0 KB
180 How to get the dataset.mp4	12.3 MB
181 Natural Language Processing in Python - Step 1.mp4	48.3 MB
182 Natural Language Processing in Python - Step 2.mp4	28.8 MB
183 Natural Language Processing in Python - Step 3.mp4	4.4 MB
184 Natural Language Processing in Python - Step 4.mp4	31.2 MB
185 Natural Language Processing in Python - Step 5.mp4	19.7 MB
186 Natural Language Processing in Python - Step 6.mp4	8.7 MB
187 Natural Language Processing in Python - Step 7.mp4	23.2 MB
188 Natural Language Processing in Python - Step 8.mp4	54.5 MB
189 Natural Language Processing in Python - Step 9.mp4	19.8 MB
190 Natural Language Processing in Python - Step 10.mp4	34.5 MB
191 Homework Challenge.html	1.7 KB
192 Natural Language Processing in R - Step 1.mp4	53.7 MB
193 Natural Language Processing in R - Step 2.mp4	22.7 MB
194 Natural Language Processing in R - Step 3.mp4	17.7 MB
195 Natural Language Processing in R - Step 4.mp4	8.6 MB
196 Natural Language Processing in R - Step 5.mp4	6.1 MB
197 Natural Language Processing in R - Step 6.mp4	16.9 MB
198 Natural Language Processing in R - Step 7.mp4	10.1 MB
199 Natural Language Processing in R - Step 8.mp4	18.1 MB
200 Natural Language Processing in R - Step 9.mp4	39.5 MB
201 Natural Language Processing in R - Step 10.mp4	56.8 MB
202 Homework Challenge.html	1.7 KB
/30 ---------------------------- Part 8 Deep Learning ----------------------------/
203 Welcome to Part 8 - Deep Learning.html	1.2 KB
204 What is Deep Learning.mp4	32.8 MB
/31 Artificial Neural Networks/
205 Plan of attack.mp4	5.0 MB
206 The Neuron.mp4	31.3 MB
207 The Activation Function.mp4	15.5 MB
208 How do Neural Networks work.mp4	24.7 MB
209 How do Neural Networks learn.mp4	27.8 MB
210 Gradient Descent.mp4	19.4 MB
211 Stochastic Gradient Descent.mp4	17.6 MB
212 Backpropagation.mp4	11.5 MB
213 How to get the dataset.mp4	12.3 MB
214 Business Problem Description.mp4	30.7 MB
215 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp4	39.3 MB
216 ANN in Python - Step 2.mp4	89.0 MB
217 ANN in Python - Step 3.mp4	15.3 MB
218 ANN in Python - Step 4.mp4	10.2 MB
219 ANN in Python - Step 5.mp4	41.3 MB
220 ANN in Python - Step 6.mp4	12.5 MB
221 ANN in Python - Step 7.mp4	15.6 MB
222 ANN in Python - Step 8.mp4	35.7 MB
223 ANN in Python - Step 9.mp4	29.9 MB
224 ANN in Python - Step 10.mp4	29.8 MB
225 ANN in R - Step 1.mp4	52.3 MB
226 ANN in R - Step 2.mp4	19.1 MB
227 ANN in R - Step 3.mp4	39.7 MB
228 ANN in R - Step 4 Last step.mp4	45.9 MB
/32 Convolutional Neural Networks/
229 Plan of attack.mp4	6.2 MB
230 What are convolutional neural networks.mp4	30.9 MB
231 Step 1 - Convolution Operation.mp4	32.5 MB
232 Step 1b - ReLU Layer.mp4	14.8 MB
233 Step 2 - Pooling.mp4	42.2 MB
234 Step 3 - Flattening.mp4	3.4 MB
235 Step 4 - Full Connection.mp4	44.8 MB
236 Summary.mp4	8.3 MB
237 Softmax Cross-Entropy.mp4	34.8 MB
238 How to get the dataset.mp4	12.3 MB
239 CNN in Python - Step 1.mp4	32.1 MB
240 CNN in Python - Step 2.mp4	7.6 MB
241 CNN in Python - Step 3.mp4	2.9 MB
242 CNN in Python - Step 4.mp4	36.3 MB
243 CNN in Python - Step 5.mp4	13.0 MB
244 CNN in Python - Step 6.mp4	12.5 MB
245 CNN in Python - Step 7.mp4	17.5 MB
246 CNN in Python - Step 8.mp4	9.4 MB
247 CNN in Python - Step 9.mp4	65.4 MB
248 CNN in Python - Step 10.mp4	29.1 MB
249 CNN in R.html	2.7 KB
/33 ----------------------- Part 9 Dimensionality Reduction -----------------------/
250 Welcome to Part 9 - Dimensionality Reduction.html	1.6 KB
/34 Principal Component Analysis PCA/
251 How to get the dataset.mp4	12.3 MB
252 PCA in Python - Step 1.mp4	33.5 MB
253 PCA in Python - Step 2.mp4	23.1 MB
254 PCA in Python - Step 3.mp4	26.7 MB
255 PCA in R - Step 1.mp4	32.1 MB
256 PCA in R - Step 2.mp4	30.4 MB
257 PCA in R - Step 3.mp4	38.5 MB
/35 Linear Discriminant Analysis LDA/
258 How to get the dataset.mp4	12.3 MB
259 LDA in Python.mp4	47.6 MB
260 LDA in R.mp4	53.8 MB
/36 Kernel PCA/
261 How to get the dataset.mp4	12.3 MB
262 Kernel PCA in Python.mp4	35.0 MB
263 Kernel PCA in R.mp4	59.3 MB
/37 --------------------- Part 10 Model Selection Boosting ---------------------/
264 Welcome to Part 10 - Model Selection Boosting.html	1.2 KB
/38 Model Selection/
265 How to get the dataset.mp4	12.3 MB
266 k-Fold Cross Validation in Python.mp4	34.4 MB
267 k-Fold Cross Validation in R.mp4	45.8 MB
268 Grid Search in Python - Step 1.mp4	40.1 MB
269 Grid Search in Python - Step 2.mp4	30.9 MB
270 Grid Search in R.mp4	37.3 MB
/39 XGBoost/
271 How to get the dataset.mp4	12.3 MB
272 XGBoost in Python - Step 1.mp4	22.4 MB
273 XGBoost in Python - Step 2.mp4	33.5 MB
274 XGBoost in R.mp4	49.6 MB
/40 Bonus Lectures/
275 YOUR SPECIAL BONUS.html	5.1 KB
/
Freetutorials.us.url	0.1 KB
[FreeTutorials.us].txt	0.1 KB
Total files 286