Interested in the field of Machine Learning? Then this course is for you!
As,
AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning. Gartner predicts the business value created by AI will reach $3.9T in 2022. IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022. 23% of North American enterprises have machine learning embedded in at least one company function as of last year.19% of enterprises in developing markets including China and 21% in Europe also have successfully integrated machine learning into functions. The graph below shows the results of a McKinsey & Company survey of 2,135 enterprise senior executive respondents. The graph displays the percent of respondents whose organizations have embedded AI capabilities in at least one function or business unit. Respondents can select multiple AI capabilities Scopes of Machine Learning
The machine learning technology is used in most banking and finance industry because the proper implication of technology can give the outstanding result and significant improvement can be seen in terms of replacing legacy system and developed enterprise. The machine learning technology helped the banking & Finance sector in taking company’s decision making, improving customer experience, increasing the backend and frontend staff efficiency.
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FILE LIST
Filename
Size
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/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/8. Random Forest Tutorial.vtt
75.7 KB
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/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/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/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