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Machine Learning in Python Bootcamp with 5 Capstone Projects

Exclusive Offer – Lifetime Learning Access With No Limits

Requirements

  • To make sense out of this course, try to be nicely conscious of linear algebra, calculus, statistics, chance and python programming language.

Description

Loopy about Knowledge science and Machine studying?

This course is an ideal match for you.

This course will take you step-by-step into the world of Machine studying.

Machine studying is the research of pc algorithms that automates analytical mannequin constructing. It’s a department of synthetic intelligence based mostly on the concept that techniques can be taught from information, determine patterns and make selections with minimal human intervention.

Machine studying is actively getting used right this moment, maybe in many extra locations than one world anticipate.

It incorporates a variety of matters and this course will cowl all step-by-step.

this course gives you theoretical in addition to sensible information of machine studying.

This course is enjoyable in addition to thrilling.

It’ll cowl all frequent and necessary algorithms and gives you expertise of engaged on some actual world tasks.

This course will cowl the next matters:-

1. Idea and sensible implementation of linear regression utilizing sklearn.

2. Idea and sensible implementation of logistic regression utilizing sklearn.

3. Characteristic choice utilizing RFECV.

4. Knowledge transformation with linear and logistic regression.

5. Analysis metrics to research the efficiency of fashions

6. Trade relevance of linear and logistic regression.

7. Arithmetic behind KNN, SVM and Naive Bayes algorithms.

8. Implementation of KNN, SVM and Naive Bayes utilizing sklearn.

9. Attribute choice methods- Gini Index and Entropy.

10. Arithmetic behind Choice bushes and random forest.

11. Boosting algorithms:- Adaboost, Gradient Boosting and XgBoost.

12. Completely different algorithms for clustering

13. Completely different strategies to deal with imbalanced information.

14. Correlation filtering

15. Variance filtering

16. PCA & LDA

17. Content material and Collaborative based mostly filtering

18. Singular Worth decomposition

19. Completely different algorithms used for Time Sequence forecasting.

20. Case research

Now we have lined each matter in element and in addition realized making use of them to actual world issues.

There are heaps and many workouts so that you can follow and in addition a  5 bonus capstone undertaking “Worker Promotion Prediction“, “Predicting Medical Well being Bills“, “Figuring out Standing for Mortgage Candidates” and “Optimizing Crop Manufacturing“.

On this Worker Promotion Prediction undertaking,  you’ll discover ways to Implement a Predictive Mannequin for Figuring out the Proper Workers deserving Promotion. Additionally discover ways to steadiness Imbalanced Datasets.

On this Predicting Medical Well being Bills undertaking, you’ll discover ways to Implement a Regression Evaluation Predictive Mannequin for Predicting the Future Medical Bills for Folks utilizing Linear Regression, Random Forest, Gradient Boosting, and many others.

On this Figuring out Standing for Mortgage Candidates undertaking, you’ll discover ways to Implement a Classification Evaluation Predictive Mannequin for Figuring out whether or not a Particular person needs to be Granted Mortgage or Not.

On this Optimizing Crop Manufacturing undertaking, you’ll find out about Precision Farming utilizing Knowledge Science Applied sciences similar to Clustering Evaluation and Classification Evaluation. It is possible for you to to Suggest finest Crops to Farmers to Enhance their Productiveness.

You’ll make use of all of the matters learn in this course.

Additionally, you will have entry to all of the sources used in this course.

Enroll now and grow to be a grasp in machine studying.

Who this course is for:

  • Anybody who has already began their information science journey and now desirous to grasp machine studying.
  • This course is for machine studying novices in addition to intermediates.

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