# Machine Learning: Logistic Regression

In this blog, we’ll learn any Machine Learning algorithm called Logistic Regression. If we go by the name then it seems that it is similar to linear regression but there’s a difference. Linear Regression is used to predict a continuous value based on certain features i.e. …

# Machine Learning: Support Vector Regression (SVR)

In this blog, we’ll cover another interesting Machine Learning algorithm called Support Vector Regression(SVR). But before going to study SVR let’s study about Support Vector Machine(SVM) as SVR is based on SVM.

SVM is a supervised learning algorithm which tries to predict values based on Classification or Regression by analysing…

# Machine Learning: Decision Trees

This blog covers another interesting machine learning algorithm called Decision Trees and it’s mathematical implementation.

At every point in our life, we make some decisions to proceed further. Similarly, this machine learning algorithm also makes the same decisions on the dataset provided and figures out the best splitting or decision…

# Data Visualization: MatplotLib and Seaborn

Data Visualization involves plotting various plots and graphs to understand the dataset, take necessary decision related to data preprocessing (handle missing value, what will be the impact after taking this decision etc. ), data analysis and many more.

# Data Preprocessing: Numpy, Pandas

Numpy and Pandas are useful libraries when dealing with Data Preprocessing. Numpy is a module present in Python which is used to do mathematical stuff efficiently. If we compare a Python List to a Numpy array, then Numpy array is way more efficient than Python List. …

# Introduction to Machine Learning

Machine Learning seems a quite familiar term if you are a tech enthusiast. So basically, when we talk about machine learning, a series of pictures or images of robots comes to our mind. But let me tell you, machine learning is somewhat different from that.

Machine Learning is a technique…

## Reetesh Kumar

A passionate programmer who loves taking part in coding competitions and always ready to learn new stuff.

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