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b2b-payment-date-prediction-using-regression

This project deals with the part of the Backend built for the full-stack app for Highradius. This ML model deals with data cleaning ,processing and using different regression methods to pick the best one to to predict when a business will be clearing the dues based on it's previous data.

credit-card-fraud-detection

Credit Card Fraud: Handling highly imbalance classes and why Receiver Operating Characteristics Curve (ROC Curve) should not be used, and Precision/Recall curve should be preferred in highly imbalanced situations

currency-converter-using-api

data-analysis-of-ipl-using-pyspark

Finding answers to various queries from all the IPL matches by using Pyspark SQL & Apache in Databricks

decision-tree

Practice classifying a student performance dataset by using a Decision tree.

hello-world

My First Repository

interactive-covid19-dashboard

Interactive database I made with the help of the dataset is the COVID-19 Data Repository by the Center for Systems Science and Engineering at Johns Hopkins University using Tablau

internshala_hiring

kpmg-data-analytics-virtual-internship

This repository contains related work for the tasks assigned during the Data Analytics Consulting Virtual Internship offered by KPMG with Forage.

linear-regression

Basic Linear Regression using Sklearn package in Python and the Seaborn package for the data visualization predicted if the company should focus on the development of their application or website, by estimating the co-efficient which would yield more profit for the company

neuron-square-internshala-assignment

Written a scrapy spider for a website URL : https://www.midsouthshooterssupply.com/dept/reloading/primers?currentpage=1

predicting-cyberbulling-on-twitter

Using Python to detect cyber-bullying on Twitter based on categories and kinds of language used with at-risk tweets

recommendation-system-in-python

To Predict another movie for a user based on the current movie watched using data of other user reviews

scraping-github-topics-repositories.

I have scraped https://github.com/topics. Got a list of topics. For each topic, I got topic title, topic page URL, and topic description For each topic, I get the top 25 repositories in the topic from the topic page For each repository, we'll grab the repo name, username, stars, and repo URL

sentiment_analysis_of_movie_reviews_using_cnn-lstm_-_gru

In this model ,I have used the GLUE dataset in order to perform a sentiment analysis on the reviews as positive and negative. Different types of Neural Networks using TensorFlow was tried out such as CNN,GRU and bi-directional LSTMs. The accuracy of predictions of each of these models are visualised in the end