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Machine Learning Hands-On Python In Data Science
2 ratings, 3 students enrolled
Course description
This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way: Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA, QDA Part 10 - Model Selection: k-fold Cross Validation, Bootstrap and Boosting
Course Goals
  • Who Should Take This Course? Who Should Not?
    • Yes
  • What Will Students Need To Know Or Do Before Starting This Course?
    • Radio 1
  • At End Of This Course
    • Leadership
      Leadership
      Focused
Course Content

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

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2
Responses
Suwarna Shinde 5 months ago

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nobby Nobby 11 months ago

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nobby Nobby 11 months ago

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Responses
nobby Nobby 11 months ago

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Suwarna Dhamdhere 1 year ago

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Suwarna Dhamdhere 1 year ago

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Suwarna Shinde 11 months ago

best answer

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Lectures
5
Video
2 Hours
Includes
Lifetime access
30 days money back guarantee!
Available on iOS and Android
Certificate of completion
Instructor biography
QAddd

Biography 1

Reviews
4

Average rating

2 rating

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