[DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course

• [DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course
• 1. Introduction/1. Introduction.mp4 8.5 MB
• 1. Introduction/1. Introduction.vtt 723 B
• 1. Introduction/2. 1.html 3.6 KB
• 2. Machine Learning using R/1. Machine Learning Basics.mp4 92.1 MB
• 2. Machine Learning using R/1. Machine Learning Basics.vtt 18.6 KB
• 2. Machine Learning using R/10. Sentiment Analysis in R.mp4 403.2 MB
• 2. Machine Learning using R/10. Sentiment Analysis in R.vtt 60.8 KB
• 2. Machine Learning using R/11. Data Mining using R.mp4 299.3 MB
• 2. Machine Learning using R/11. Data Mining using R.vtt 45 KB
• 2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.mp4 102.2 MB
• 2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.vtt 21 KB
• 2. Machine Learning using R/13. Boosting Machine Learning.mp4 139.9 MB
• 2. Machine Learning using R/13. Boosting Machine Learning.vtt 27.2 KB
• 2. Machine Learning using R/13.1 (The Morgan Kaufmann series in machine learning).pdf.pdf 10.4 MB
• 2. Machine Learning using R/2. Data Science vs Machine Learning.mp4 126.7 MB
• 2. Machine Learning using R/2. Data Science vs Machine Learning.vtt 22 KB
• 2. Machine Learning using R/3. Machine Learning with R Machine.mp4 301 MB
• 2. Machine Learning using R/3. Machine Learning with R Machine.vtt 52 KB
• 2. Machine Learning using R/4. Complete Machine Learning Course.mp4 900.7 MB
• 2. Machine Learning using R/4. Complete Machine Learning Course.vtt 149.6 KB
• 2. Machine Learning using R/5. Machine Learning Algorithms.mp4 375.2 MB
• 2. Machine Learning using R/5. Machine Learning Algorithms.vtt 59.1 KB
• 2. Machine Learning using R/6. Linear Regression Algorithm.mp4 187 MB
• 2. Machine Learning using R/6. Linear Regression Algorithm.vtt 37.9 KB
• 2. Machine Learning using R/7. Linear Regression vs Logistic Regression.mp4 152.4 MB
• 2. Machine Learning using R/7. Linear Regression vs Logistic Regression.vtt 28.1 KB
• 2. Machine Learning using R/8. Random Forest Tutorial.mp4 515 MB
• 2. Machine Learning using R/9. Support Vector.mp4 220.7 MB
• 2. Machine Learning using R/9. Support Vector.vtt 40.4 KB
• 3. Machine Learning using Python/1. R vs Python.mp4 62 MB
• 3. Machine Learning using Python/1. R vs Python.vtt 8.8 KB
• 3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4 142.6 MB
• 3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.vtt 34.8 KB
• 3. Machine Learning using Python/11. Probabilistic Graphical Models.mp4 202.7 MB
• 3. Machine Learning using Python/11. Probabilistic Graphical Models.vtt 39.6 KB
• 3. Machine Learning using Python/12. Machine Learning Projects.mp4 199 MB
• 3. Machine Learning using Python/12. Machine Learning Projects.vtt 37.3 KB
• 3. Machine Learning using Python/12.1 Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch.pdf.pdf 5.1 MB
• 3. Machine Learning using Python/2. Logistic Regression in Python.mp4 364.9 MB
• 3. Machine Learning using Python/2. Logistic Regression in Python.vtt 73 KB
• 3. Machine Learning using Python/3. Decision Tree Algorithm.mp4 316.2 MB
• 3. Machine Learning using Python/3. Decision Tree Algorithm.vtt 64.3 KB
• 3. Machine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4 201.9 MB
• 3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4 198.4 MB
• 3. Machine Learning using Python/5. Naive Bayes Classifier in Python.vtt 36.7 KB
• 3. Machine Learning using Python/6. Time Series Analysis.mp4 270.1 MB
• 3. Machine Learning using Python/6. Time Series Analysis.vtt 56.7 KB
• 3. Machine Learning using Python/7. Twitter Sentiment Analysis.mp4 29 MB
• 3. Machine Learning using Python/7. Twitter Sentiment Analysis.vtt 5.1 KB
• 3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.mp4 55.9 MB
• 3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.vtt 10.3 KB
• 3. Machine Learning using Python/9. Reinforcement Learning.mp4 329.4 MB
• 3. Machine Learning using Python/9. Reinforcement Learning.vtt 68.4 KB
• 4. Projects in ML/1. First project Motion Studio.html 7.1 KB
• 4. Projects in ML/1.1 Adaptive Computation and Machine Learning.pdf.pdf 6.6 MB
• 4. Projects in ML/10. More ideas For projects.html 7 KB
• 4. Projects in ML/11. Top Projects for Bieng Expert.html 9 KB
• 4. Projects in ML/12. Projects For Practise.html 9.6 KB
• 4. Projects in ML/2. Lithion power.html 7.4 KB
• 4. Projects in ML/2.1 (Information science and statistics) Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006).pdf.pdf 4.5 MB
• 4. Projects in ML/2.1 Information science and statistics.pdf.pdf 4.5 MB
• 4. Projects in ML/3. BluEX.html 13.6 KB
• 4. Projects in ML/3.1 (Adaptive Computation and Machine Learning) Ethem Alpaydin - Introduction to Machine Learning -The MIT Press (2004).pdf.pdf 36.2 MB
• 4. Projects in ML/4. Forecasting Website Traffic Using Facebook’s Prophet Library.html 14.5 KB
• 4. Projects in ML/5. Face Recognition with Python.html 8.9 KB
• 4. Projects in ML/6. Digit Recognition.html 13.7 KB
• 4. Projects in ML/7. Predicting Google’s Stock Price.html 10.5 KB
• 4. Projects in ML/8. Predict the Weather.html 33.8 KB
• 4. Projects in ML/9. Speech Recognition.html 43.1 KB

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