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

mp4   Hot：336   Size：6.12 GB   Created：2019-10-19 10:44:13   Update：2021-12-11 18:56:56  

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  • 2. Machine Learning using R/4. Complete Machine Learning Course.mp4 900.66 MB
    2. Machine Learning using R/8. Random Forest Tutorial.mp4 514.96 MB
    2. Machine Learning using R/10. Sentiment Analysis in R.mp4 403.24 MB
    2. Machine Learning using R/5. Machine Learning Algorithms.mp4 375.16 MB
    3. Machine Learning using Python/2. Logistic Regression in Python.mp4 364.88 MB
    3. Machine Learning using Python/9. Reinforcement Learning.mp4 329.42 MB
    3. Machine Learning using Python/3. Decision Tree Algorithm.mp4 316.15 MB
    2. Machine Learning using R/3. Machine Learning with R Machine.mp4 300.97 MB
    2. Machine Learning using R/11. Data Mining using R.mp4 299.25 MB
    3. Machine Learning using Python/6. Time Series Analysis.mp4 270.1 MB
    2. Machine Learning using R/9. Support Vector.mp4 220.7 MB
    3. Machine Learning using Python/11. Probabilistic Graphical Models.mp4 202.66 MB
    3. Machine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4 201.87 MB
    3. Machine Learning using Python/12. Machine Learning Projects.mp4 199.01 MB
    3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4 198.38 MB
    2. Machine Learning using R/6. Linear Regression Algorithm.mp4 186.96 MB
    2. Machine Learning using R/7. Linear Regression vs Logistic Regression.mp4 152.35 MB
    3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4 142.57 MB
    2. Machine Learning using R/13. Boosting Machine Learning.mp4 139.94 MB
    2. Machine Learning using R/2. Data Science vs Machine Learning.mp4 126.7 MB
    2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.mp4 102.24 MB
    2. Machine Learning using R/1. Machine Learning Basics.mp4 92.09 MB
    3. Machine Learning using Python/1. R vs Python.mp4 62.04 MB
    3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.mp4 55.94 MB
    4. Projects in ML/3.1 (Adaptive Computation and Machine Learning) Ethem Alpaydin - Introduction to Machine Learning -The MIT Press (2004).pdf.pdf 36.17 MB
    3. Machine Learning using Python/7. Twitter Sentiment Analysis.mp4 28.96 MB
    2. Machine Learning using R/13.1 (The Morgan Kaufmann series in machine learning).pdf.pdf 10.42 MB
    1. Introduction/1. Introduction.mp4 8.53 MB
    4. Projects in ML/1.1 Adaptive Computation and Machine Learning.pdf.pdf 6.6 MB
    3. Machine Learning using Python/12.1 Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch.pdf.pdf 5.08 MB
    4. Projects in ML/2.1 (Information science and statistics) Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006).pdf.pdf 4.52 MB
    4. Projects in ML/2.1 Information science and statistics.pdf.pdf 4.52 MB
    2. Machine Learning using R/4. Complete Machine Learning Course.vtt 149.6 KB
    3. Machine Learning using Python/2. Logistic Regression in Python.vtt 73 KB
    3. Machine Learning using Python/9. Reinforcement Learning.vtt 68.4 KB
    3. Machine Learning using Python/3. Decision Tree Algorithm.vtt 64.28 KB
    2. Machine Learning using R/10. Sentiment Analysis in R.vtt 60.79 KB
    2. Machine Learning using R/5. Machine Learning Algorithms.vtt 59.05 KB
    3. Machine Learning using Python/6. Time Series Analysis.vtt 56.71 KB
    2. Machine Learning using R/3. Machine Learning with R Machine.vtt 51.96 KB
    2. Machine Learning using R/11. Data Mining using R.vtt 44.97 KB
    4. Projects in ML/9. Speech Recognition.html 43.14 KB
    2. Machine Learning using R/9. Support Vector.vtt 40.43 KB
    3. Machine Learning using Python/11. Probabilistic Graphical Models.vtt 39.63 KB
    2. Machine Learning using R/6. Linear Regression Algorithm.vtt 37.91 KB
    3. Machine Learning using Python/12. Machine Learning Projects.vtt 37.26 KB
    3. Machine Learning using Python/5. Naive Bayes Classifier in Python.vtt 36.75 KB
    3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.vtt 34.77 KB
    4. Projects in ML/8. Predict the Weather.html 33.83 KB
    2. Machine Learning using R/7. Linear Regression vs Logistic Regression.vtt 28.13 KB
    2. Machine Learning using R/13. Boosting Machine Learning.vtt 27.18 KB
    2. Machine Learning using R/2. Data Science vs Machine Learning.vtt 22.04 KB
    2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.vtt 21.02 KB
    2. Machine Learning using R/1. Machine Learning Basics.vtt 18.59 KB
    4. Projects in ML/4. Forecasting Website Traffic Using Facebook’s Prophet Library.html 14.47 KB
    4. Projects in ML/6. Digit Recognition.html 13.74 KB
    4. Projects in ML/3. BluEX.html 13.58 KB
    4. Projects in ML/7. Predicting Google’s Stock Price.html 10.54 KB
    3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.vtt 10.29 KB
    4. Projects in ML/12. Projects For Practise.html 9.58 KB
    4. Projects in ML/11. Top Projects for Bieng Expert.html 9.01 KB
    4. Projects in ML/5. Face Recognition with Python.html 8.89 KB
    3. Machine Learning using Python/1. R vs Python.vtt 8.76 KB
    4. Projects in ML/2. Lithion power.html 7.42 KB
    4. Projects in ML/1. First project Motion Studio.html 7.12 KB
    4. Projects in ML/10. More ideas For projects.html 7.03 KB
    3. Machine Learning using Python/7. Twitter Sentiment Analysis.vtt 5.11 KB
    1. Introduction/2. 1.html 3.6 KB
    1. Introduction/1. Introduction.vtt 723 B
    [DesireCourse.Net].url 51 B
    [CourseClub.Me].url 48 B

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