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Posts

Building a Convolutional Neural Network: Male 👨 vs Female 👩

less than 1 minute read

Published:

In this blog, we are going to classify images using Convolutional Neural Network (CNN), and for deployment, you can use Colab, Kaggle or even use your local machine since the dataset size is not very large. At the end of this, you will be able to build your own image classifier that detects males and females or anything that is tangible. Read more

Build your first Machine Learning Model using TensorFlow

less than 1 minute read

Published:

Welcome to this article where you will learn how to train your first Machine Learning model using TensorFlow and use it for Predictions! As the title suggests, this tutorial is only for someone who has no prior understanding of how to use a machine learning model. Read more

Optimizing Jupyter Notebook: Tips, Tricks, and nbextensions

less than 1 minute read

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Jupyter Notebooks are a web-based and interactive tool that the machine learning and data science community uses a lot. They are used for quick testing, as a reporting tool or even as highly sophisticated learning materials in online courses. Read more

Use cases of Different Machine Learning Algorithms

less than 1 minute read

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All the innovative perks that we enjoy today – from intelligent AI assistants and Recommendation Engines to the sophisticated IoT devices are the fruits of Data Science, or more specifically, Machine Learning. Read more

portfolio

Uber Case Study

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The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation. Read more

Car Price Prediction

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The aim of this project is to get familiarized with a Data Science process & build a Machine Learning Model that can predict a car price based on its features. Read more

Lead Scoring Case Study

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Built a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads. Read more

Market Mix Model for E-commerce

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Objective was to find the effect of various variables that have a effect on the revenue so that budget can be allocate only on the variables which had a positive impact on the revenue. Read more

publications

Quadratically Convergent Algorithm for Computing Real Root of Non-Linear Transcendental Functions

Published in National Conference on Applications of Mathematical and Engineering Sciences, 2014

This paper describes a new algorithm to find a root of non-linear transcendental equations. It is found that Regula-Falsi method always gives guaranteed result but slow convergence. However, Newton–Raphson method does not give guaranteed result but faster than Regula-Falsi method. Therefore, the present paper used these two ideas and developed a new algorithm which has better convergence than Regula-Falsi and guaranteed result. One of the major issue in Newton–Raphson method is, it fails when first derivative is zero or approximately zero. Read more

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A New Proposed Numerical Algorithm for Computing Real Root of Functions

Published in National Conference on Emerging Trends in Physics of Fluids & Solids, 2015

The present paper discusses a new algorithm to find the root of non-linear transcendental functions. It is found that Regula-Falsi method always gives guaranteed result but slow convergence. However, interpolation based method does not give guaranteed result but faster than Regula-Falsi method. Therefore, the present paper used these two thoughts and developed a new algorithm which has better convergence than Regula-Falsi and guaranteed result. The present proposed algorithm will be useful for finding the real root of real life problems. Read more

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talks

Introduction to Big Data and Trends

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In this session, the most emerging research topic “Big Data” was introduced. Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time. Read more

Tweet-Driven Mozfest-Storytelling

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In this session, together we analyzed the Live Tweets for the MozFest 2018 using a platform built on python libraries.
We created a number of visualizations using the scraped tweets and we discussed best ways of presenting data and engaging with the audience in order to analyze sentiments. Read more

Python for Data Science

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In this training, attendees learnt the latest in-demand skill set of Data Science and Machine Learning. During the training, not only they learnt but also they worked on live projects which helped them in testing their skills and a better understanding of concepts. Read more

Automated Image Captioning using TF 2.0

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The purpose of this tutorial was to explain (in as simple words as possible) that how Deep Learning can be used to solve this problem of generating a caption for a given image, hence the name Image Captioning. This talk was conducted as a part of an initiative for Explore ML program from Google. Read more

Image Classification using TF 2.0

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This tutorial shows how to classify cats or dogs from images. It builds an image classifier using a tf.keras.Sequential model and load data using tf.keras.preprocessing.image.ImageDataGenerator. Read more

Introduction to Qiskit

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This workshop introduces you to qiskit, its element and help you in setting up a IBM cloud account to program on quantum simulators and actual quantum computers. Read more

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post. Read more

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post. Read more