Hello, people. In this new tutorial series, we are going to talk about the different aspects of the Machine Learning.

As an aspiring Data Scientist, I always wanted to get my hands dirty with the concepts of Machine Learning and the Summar Break gave me exactly what I wanted – “TIME TO LEARN MACHINE LEARNING CONCEPTS“.

Through these tutorials, we are going to strengthen the Machine Learning concepts and its applications in various areas.

I am learning these concepts from the paid and verified course on Udemy Website and you can view the course contents by clicking here.

The following infographics show the timeline of this Machine Learning tutorial series.

This tutorial is the Introduction part of the series.

The infographics show the Big Picture of the categories that we are going to see.

So let me give you the detailed list of the tutorials we are going to cover in this series.

Installation – R and Python

Data Preprocessing

Regression

Simple Linear Regression

Multiple Linear Regression

Polynomial Regression

Support Vector Regression

Decision Tree Regression

Random Forest Regression

Evaluating Regression Models Performance

Classification

Logistic Regression

K-Nearest Neighbors (k-NN)

Support Vector Machine (SVM)

Kernel SVM

Naive Bayes

Decision Tree Classification

Random Forest Classification

Evaluating Classification Models Performance

Clustering

K-Means Clustering

Hierarchical Clustering

Association Rule Learning

Apriori

Eclat

Reinforced Learning

Upper Confidence Bound (ECB)

Thompson Sampling

Natural Language Processing

Deep Learning

Artificial Neural Networks

Convolutional Neural Networks

Dimensionality Reduction

Principle Component Analysis (PCA)

Linear Discriminant Analysis (LDA)

Kernel PCA

Model Selection and Boosting

Model Selection

XGBoost

Hope you are not overwhelmed by what is going to come in the future. In my opinion, these all are important things a Data Scientist should know and we are going to work in that direction till we finish all of the stuff mentioned above.

So, get ready and buckle up on this beautiful journey of Machine Learning.

Please follow my blog for further updates. You can check out my LinkedIn profile here. Like my Facebook page here. Follow me on Twitter here and subscribe to my YouTube channel here for the video tutorials.

In the next tutorial, we are going to do the installations of R and Python along with their respective IDEs.

I founded my blog www.milindjagre.co four years ago and am currently working as a Data Scientist Analyst at the Ford Motor Company.
I graduated from the University of Connecticut pursuing Master of Science in Business Analytics and Project Management. I am working hard and learning a lot of new things in the field of Data Science.
I am a strong believer of constant and directional efforts keeping the teamwork at the highest priority.
Please reach out to me at milindjagre@gmail.com for further information.
Cheers!
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