# Pandas Library for Data Manipulation

Data analysis is one of the most empowered part of Data Science, and when it comes to data analysis then Python’s Pandas Library just couldn’t be skipped.

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# Pandas Library for Data Manipulation

# Introduction to Tensorflow – 2 : Building a Neural Network with Tensorflow

# Python NumPy Package

# Student Performance Analysis

# Logistic Regression

# Linear Regression

# Introduction to Tensorflow : For Beginners and Programmers

# Transfer Learning

# Churn Prediction : Implementation of neural network

# Neural Network: Learning

Data analysis is one of the most empowered part of Data Science, and when it comes to data analysis then Python’s Pandas Library just couldn’t be skipped.

In this article we will build a neural network in tensorflow to classify hand written digits. Tensorflow is an open source library by google, developed by google brain team and Neural network is the core algorithm behind deep learning .

In this blog, we will be discussing some basic operations and techniques of NumPy package in Python. This concept is totally for beginners though some basic syntax knowledge of Python syntax would be great.

In this post I’m going to analyze the factors affecting student’s performance in the final exams and in the end of the post, I’ll use logistic regression to predict whether the student passes the exam or not usingĀ attributes like demographic, social and school related features . If you are unfamiliar with logistic regression or need […]

Learn about classification ,logistic regression and how to implement it .

Linear Regression is a supervised learning algorithm used in regression tasks. In this post we’ll see what is regression and understand what linear regression is and how it works.We’ll also implement it with sklearn.

Hello all , This post is for anyone who is willing to get started with tensorflow. It’s a quick guide to understand what tensorflow is and how it works. This tutorial mainly consist two parts : Basic intuition and theory to understand tensorflow. Practical implementation to understand how to use tensorlow.

Transfer Learning is a very powerful idea in machine learning. In transfer learning we take knowledge , a neural network learned from one task and apply it to the other task. “Transfer learning will next driver of machine learning success” says Andrew Ng, at his famous NIPS 2016 tutorial

Hello all! In this blog post I will implement an artificial neural network using keras package to do churn prediction. In the previous blog post I talked about neural network representation and learning. I suggest you to read them before reading this blog post(click here to read). The code is written in jupyter notebook, to […]

In the last blog post we saw what a neural network is ,it’s representation and the maths behind it(To check that blog post,click here). We didn’t talk about how this neural network actually learns. We have a design for a neural network, but how can it learn to do something? The first thing we will […]