Udemy-chine-Learning-A-Z-1W4Ks
- 1. Introduction/1. Introduction.mp48.54MB
- 2. chine Learning using R/1. Machine Learning Basics.mp492.09MB
- 2. chine Learning using R/10. Sentiment Analysis in R.mp4403.24MB
- 2. chine Learning using R/11. Data Mining using R.mp4299.25MB
- 2. chine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.mp4102.24MB
- 2. chine Learning using R/13. Boosting Machine Learning.mp4139.94MB
- 2. chine Learning using R/2. Data Science vs Machine Learning.mp4126.70MB
- 2. chine Learning using R/3. Machine Learning with R Machine.mp4300.97MB
- 2. chine Learning using R/4. Complete Machine Learning Course.mp4900.67MB
- 2. chine Learning using R/4. Complete Machine Learning Course.vtt149.60KB
- 2. chine Learning using R/5. Machine Learning Algorithms.mp4375.16MB
- 2. chine Learning using R/6. Linear Regression Algorithm.mp4186.96MB
- 2. chine Learning using R/7. Linear Regression vs Logistic Regression.mp4152.35MB
- 2. chine Learning using R/8. Random Forest Tutorial.mp4514.97MB
- 2. chine Learning using R/9. Support Vector.mp4220.70MB
- 3. chine Learning using Python/1. R vs Python.mp462.04MB
- 3. chine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4142.57MB
- 3. chine Learning using Python/11. Probabilistic Graphical Models.mp4202.66MB
- 3. chine Learning using Python/12. Machine Learning Projects.mp4199.01MB
- 3. chine Learning using Python/2. Logistic Regression in Python.mp4364.88MB
- 3. chine Learning using Python/3. Decision Tree Algorithm.mp4316.15MB
- 3. chine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4201.86MB
- 3. chine Learning using Python/5. Naive Bayes Classifier in Python.mp4198.38MB
- 3. chine Learning using Python/6. Time Series Analysis.mp4270.11MB
- 3. chine Learning using Python/7. Twitter Sentiment Analysis.mp428.97MB
- 3. chine Learning using Python/8. A Quick Guide To Sentiment Analysis.mp455.94MB
- 3. chine Learning using Python/9. Reinforcement Learning.mp4329.42MB
- 4. Projects in ML/2.1 (Infortion science and statistics) Chrisher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006).pdf.pdf4.52MB
- 4. Projects in ML/3.1 (Adaptive Computation and chine Learning) Ethem Alpaydin - Introduction to Machine Learning -The MIT Press (2004).pdf.pdf36.17MB
- CreateTime2023-08-21
- UpdateTime2023-08-21
- FileTotalCount67
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