DesireCourse Net Udemy Machine Learning Full Course | 691F3F18EB9B5BF9C744BCB953E23A0C797DA9F3

DesireCourse Net Udemy Machine Learning Full Course

Name	[DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course	DOWNLOAD Copy Link
Total Size	6.6 GB
Total Files	71
Last Seen	2024-09-19 03:30
Hash	691F3F18EB9B5BF9C744BCB953E23A0C797DA9F3

/1. Introduction/
1. Introduction.mp4	8.9 MB
1. Introduction.vtt	0.7 KB
2. 1.html	3.7 KB
/2. Machine Learning using R/
1. Machine Learning Basics.mp4	96.6 MB
1. Machine Learning Basics.vtt	19.0 KB
10. Sentiment Analysis in R.mp4	422.8 MB
10. Sentiment Analysis in R.vtt	62.3 KB
11. Data Mining using R.mp4	313.8 MB
11. Data Mining using R.vtt	46.1 KB
12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.mp4	107.2 MB
12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.vtt	21.5 KB
13. Boosting Machine Learning.mp4	146.7 MB
13. Boosting Machine Learning.vtt	27.8 KB
13.1 (The Morgan Kaufmann series in machine learning).pdf.pdf	10.9 MB
2. Data Science vs Machine Learning.mp4	132.9 MB
2. Data Science vs Machine Learning.vtt	22.6 KB
3. Machine Learning with R Machine.mp4	315.6 MB
3. Machine Learning with R Machine.vtt	53.2 KB
4. Complete Machine Learning Course.mp4	944.4 MB
4. Complete Machine Learning Course.vtt	153.2 KB
5. Machine Learning Algorithms.mp4	393.4 MB
5. Machine Learning Algorithms.vtt	60.5 KB
6. Linear Regression Algorithm.mp4	196.0 MB
6. Linear Regression Algorithm.vtt	38.8 KB
7. Linear Regression vs Logistic Regression.mp4	159.8 MB
7. Linear Regression vs Logistic Regression.vtt	28.8 KB
8. Random Forest Tutorial.mp4	540.0 MB
9. Support Vector.mp4	231.4 MB
9. Support Vector.vtt	41.4 KB
/3. Machine Learning using Python/
1. R vs Python.mp4	65.1 MB
1. R vs Python.vtt	9.0 KB
10. Q Learning Explained Reinforcement Learning.mp4	149.5 MB
10. Q Learning Explained Reinforcement Learning.vtt	35.6 KB
11. Probabilistic Graphical Models.mp4	212.5 MB
11. Probabilistic Graphical Models.vtt	40.6 KB
12. Machine Learning Projects.mp4	208.7 MB
12. Machine Learning Projects.vtt	38.2 KB
12.1 Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch.pdf.pdf	5.3 MB
2. Logistic Regression in Python.mp4	382.6 MB
2. Logistic Regression in Python.vtt	74.8 KB
3. Decision Tree Algorithm.mp4	331.5 MB
3. Decision Tree Algorithm.vtt	65.8 KB
4. K Means Clustering Algorithm K Means Example in Python.mp4	211.7 MB
5. Naive Bayes Classifier in Python.mp4	208.0 MB
5. Naive Bayes Classifier in Python.vtt	37.6 KB
6. Time Series Analysis.mp4	283.2 MB
6. Time Series Analysis.vtt	58.1 KB
7. Twitter Sentiment Analysis.mp4	30.4 MB
7. Twitter Sentiment Analysis.vtt	5.2 KB
8. A Quick Guide To Sentiment Analysis.mp4	58.7 MB
8. A Quick Guide To Sentiment Analysis.vtt	10.5 KB
9. Reinforcement Learning.mp4	345.4 MB
9. Reinforcement Learning.vtt	70.0 KB
/4. Projects in ML/
1. First project Motion Studio.html	7.3 KB
1.1 Adaptive Computation and Machine Learning.pdf.pdf	6.9 MB
10. More ideas For projects.html	7.2 KB
11. Top Projects for Bieng Expert.html	9.2 KB
12. Projects For Practise.html	9.8 KB
2. Lithion power.html	7.6 KB
2.1 (Information science and statistics) Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006).pdf.pdf	4.7 MB
2.1 Information science and statistics.pdf.pdf	4.7 MB
3. BluEX.html	13.9 KB
3.1 (Adaptive Computation and Machine Learning) Ethem Alpaydin - Introduction to Machine Learning -The MIT Press (2004).pdf.pdf	37.9 MB
4. Forecasting Website Traffic Using Facebook’s Prophet Library.html	14.8 KB
5. Face Recognition with Python.html	9.1 KB
6. Digit Recognition.html	14.1 KB
7. Predicting Google’s Stock Price.html	10.8 KB
8. Predict the Weather.html	34.6 KB
9. Speech Recognition.html	44.2 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
Total files 71