Machine Learning With Data Science

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Machine Learning With Data Science Courses & Certifications

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About the Course

Machine Learning course will help you master the skills required to become an expert in this domain. Skills such as Python, ML algorithms, statistics, supervised and unsupervised learning, etc

Course Description:

In this course you learn complex theory, algorithms, and coding libraries in a simple way.

With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

We dive deep into Machine Learning.

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
Part 5 – Association Rule Learning: Apriori
Part 6 – Natural Language Processing
Part 7 – Deep Learning: Artificial Neural Networks
Part 8 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning,

So not only will you learn the theory, but you will also get some hands-on practice building your own models.

Course Objective/What will Learn

Master Machine Learning on Python & R
Various Machine Learning models
Make accurate predictions
Make powerful analysis
Reinforcement Learning, NLP and Deep Learning
Know which Machine Learning model to choose for each type of problem

Pre-Requisites/Requirements:

General Programming Skills in any Language (Preferrably Python)

Target Audience:

Developers who want to make their career in Machine learning , R and Python

Professionals working in the domains of Data Science, Analytics, and BI
Professionals employed in fields of search engines and e-commerce