Hi So if anyone wants to collaborate, I will be glad to offer my assistant.  Reach me out [email protected] Instagram machinemantra YouTube Channel: Machine Learning by Priyanka Sharma --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

The episode explains what is meant by predictive modeling and predictive analysis in Machine Learning, bringing out the differences between the two. --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

The episode discusses why R and Python are really popular languages in the Data Science community. The similarity and differences between the two languages in an elaborate manner. --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

The episode discusses what is feature engineering in Machine Learning, what are various techniques used in Machine Learning like Imputation, Scaling, One hot encoding, and much more. Website: https://machinemantra.in/ YouTube: https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

This episode discusses various types of Regression Metrics in Machine Learning. Most common Regression metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), RMSE, R squared, and Adjusted R squared regression metrics. There is further a little discussion upon which Regression Metric to use for evaluating the Regression Problems, pros and cons of the above-mentioned Metrics. YouTube:https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber Website: https://machinemantra.in/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

This episode discusses what is a Machine Learning Metric, various types of Metrics. Going further in detail of Classification Metrics like Accuracy, ROC, Log loss, Confusion Matrix, and Classification report. Website:https://machinemantra.in/ YouTube Channel: https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

This Episode discusses various unsupervised Machine Learning Algorithms like Clustering and Dimensionality Reduction Algorithms.  Various Applications of Clustering and Dimensionality Reduction (PCA) algorithms. Website: https://machinemantra.in/ YouTube videos for a better understanding of the Algorithms: https://www.youtube.com/playlist?list=PLrtwkWhbtH49O-7f6K3ymy-lf7-pqXKJX   --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

The episode discusses various Supervised Machine Learning Algorithms like Classification Algorithms and Regression Algorithms. This will give a basic idea and working knowledge about the different supervised Machine Learning Algorithms. For more Details: https://machinemantra.in/ YouTube for more understanding of Algorithms: https://www.youtube.com/playlist?list=PLrtwkWhbtH49O-7f6K3ymy-lf7-pqXKJX   --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

The episode discusses various data types in Machine Learning, the significance of Data types, and why one should bother to know the data types at all. Data types like numeric, categorical, ordinal, time-series, text are discussed with the help of examples. Website: https://machinemantra.in/ YouTube Channel: https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

The episode discusses various Machine Learning Terms like Bias, Variance, Bias-Variance Trade-Off, what is Overfitting, and underfitting in Machine Learning. How to reduce Bias, ways to reduce Variance. Website: https://machinemantra.in/ YouTube: https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber --- Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message