Course Detail

Machine Learning Course

Machine Learning Course - Posh Institute of Technology


Course Detail


Course Description

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

What you’ll learn

Requirements

Description

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.

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

  • Part 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Who is This Course For?

  • Anyone interested in Machine Learning.

  • Students who have at least high school knowledge in math and who want to start learning Machine Learning.

  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.

  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.

  • Any students in college who want to start a career in Data Science.

  • Any data analysts who want to level up in Machine Learning.

  • Any people who are not satisfied with their job and who want to become a Data Scientist.

  • Any people who want to create added value to their business by using powerful Machine Learning tools.

  • Course content

  • Collapse all 294 lectures

Applications of Machine Learning

• BONUS: Learning Paths

• Why Machine Learning is the Future

• Important notes, tips & tricks for this course

• This PDF resource will help you a lot

• The whole code folder of the course

• Updates on POSH Reviews

• Installing Python and Anaconda (Mac, Linux & Windows)

• Update: Recommended Anaconda Version

• Installing R and R Studio (Mac, Linux & Windows)

• BONUS: Meet your instructors

• Some Additional Resources

• FAQBot!

Institute Overview

Pune, Maharashtra, India

About us We envision a world where anyone, anywhere can transform their life by accessing the world’s best learning experience.Every course at POSH is taught by top instructors from world-class universities and companies, so you can learn some... Read More

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