pointer-king's Stars
sharmaroshan/Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
sharmaroshan/Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
sharmaroshan/HR-Analytics
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
sharmaroshan/FIFA-2019-Analysis
This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
sharmaroshan/Churn-Modelling-Dataset
Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.
sharmaroshan/SECOM-Detecting-Defected-Items
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
sharmaroshan/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
mratanusarkar/Dataset-Indian-Companies
Web Scraping "List of companies in India" from AmbitionBox Website using Python and Beautiful Soup
sharmaroshan/Black-Friday-Regression-Analysis
Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.
sharmaroshan/Education-Process-Mining
Mining Student's Performances through their results in final and intermediate exams using Machine Learning
sharmaroshan/Google-Job-Skills
Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google.
sharmaroshan/Clustering-of-Mall-Customers
Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.
sharmaroshan/Loan-Default-Prediction
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter in the first EMI payment using different algorithms from machine learning
mratanusarkar/Space-Invaders-Pygame
A pygame Implementation of popular Classic Atari and NES Arcade games
sharmaroshan/Avito-Demand-Prediction-Challenge
It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting
sharmaroshan/Loan-Prediction
Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms in Machine Learning, by looking at some common and useful attributes.
sharmaroshan/Car_Evaluation
Evaluating a Car based on some popular attributes which could be beneficial in decision making while purchasing a Car, Who do not have enough knowledge about Cars.
sharmaroshan/Percentage-of-Women-in-Bacelor-s-Degree
Analyzing the Growth of Women in USA over Years in different departments and field of Bachelor's Degree offered in USA, using Data Analysis and Data Visualizations
mratanusarkar/NodeJS-ProgressBar
CLI Progress Bar implemented in NodeJS to track Time, ETA and Steps for any long running jobs in any loops in JS, NodeJS code
sharmaroshan/CareerCon-Robots-Need-Help
It is Data Science and Machine Learning Competition Hosted by Kaggle where we have to perform multi-class classification on the labels, a very good amount of feature engineering, data preprocessing, data visualizations and modelling is done on the data set to get a good accuracy using random forest and xg boost classifier
mratanusarkar/Sound-Synthesizer
Implementing 'play command' feature of Wolfram Mathematica in MATLAB