KatzDownload.com

107.36 MB | 00:02:40 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1  Introduction  (8 MB)
2  What you should know  (1.75 MB)
1  Recap of Python  (3.31 MB)
2  Recap of machine learning  (5.25 MB)
3  Data cleaning and preparation  (4.02 MB)
4  Challenge- How would you solve this problem with ML  (1.56 MB)
5  Solution- How would you solve this problem with ML  (6.45 MB)
1  Introduction to machine learning concepts  (2.86 MB)
2  Building regression models in Excel  (7.88 MB)
3  Classification models for business data  (8.06 MB)
4  Challenge- Build a regression model  (1.37 MB)
5  Solution- Build a regression model  (5.19 MB)
1  Predictive analytics for financial forecasting  (8.77 MB)
2  Automated decision-making processes  (5.06 MB)
3  Real-time data processing and analysis  (3.49 MB)
4  Challenge- Create a financial forecast  (1.05 MB)
5  Solution- Create a financial forecast  (4.5 MB)
1  Data manipulation with pandas  (4.18 MB)
2  Numerical analysis with NumPy  (4.08 MB)
3  Machine learning with scikit-learn  (3.28 MB)
1  Linear regression for business insights  (4.98 MB)
2  Random forests for predictive modelling  (4.08 MB)
3  Clustering techniques for market segmentation  (5.96 MB)
1  Next steps  (1.99 MB)
Ex Files Advanced Python Excel  (265.57 KB)