atharvapathak

atharvapathak

Computer_Vision_Linear_Regression_Projects

This repository consists of some basic Computer Vision & Linear Regression Projects.

Credit_Card_Fraud_Detection_Project

Machine Learning model for Credit Card Fraud Detection

Credit_EDA_Case_Study

This repository describes my assignment in Data Science related to Exploratory Data Analysis in detecting the type of customers who are more likely to accept a loan with minimum defaulting rate.

Customer_Sentiment_Analysis

Customer sentiment analysis is the process of using natural language processing (NLP) and machine learning techniques to analyze and understand the feelings, opinions, and attitudes expressed by customers in textual data, such as reviews, feedback, and social media posts.

Customer_Service_Chatbot

Customer Service Chatbot Repository includes a range of features for building custom chatbots that can handle customer service queries and support requests. These features include NLP capabilities and pre-built dialog flows that can help chatbots understand and respond to customer.

Data_Science_Salary_Project

This project is all about predicting salaries of Data Scientists.

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Eye_For_Blind_Project

In this capstone project, we need to create a deep learning model which can explain the contents of an image in the form of speech through caption generation with an attention mechanism on Flickr8K dataset.

Hand_Gesture_Recognition_Case_Study

This project involves building a 3D Convolutional Neural Network (CNN) to correctly recognize hand gestures by a user to control a smart TV using 3D-CNN and 2D-CNN + RNN/LSTM/GRU.

House_Price_Prediction_Project

This repository uses a simple linear regression to predict house prices in US $ based upon areas in sq ft.

Lead_Scoring_Case_Study

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

Market_Basket_Analysis

This project implements Market Basket Analysis (MBA), using data mining techniques to uncover relationships between products purchased together. By analyzing transaction data, we aim to provide actionable insights to optimize marketing strategies and enhance customer experience.

Melanoma_Detection_Case_Study

Creating a possible model to detect melanoma from the dataset accurately using CNN.

Product_Recommendation_Engine

Using algorithms such as collaborative filtering, content-based filtering, or hybrid methods, this recommendation engine offers personalized suggestions to users, enhancing their shopping or browsing experience.

RSVP_Movies_Case_Study

SQL queries performed on IMDb database to provide recommendations to RSVP Movies based on insights.

Sales_Forecasting_Project

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Size_Estimator_Project

This project in Python aims to provide a tool for estimating the size of objects in images or videos. Using computer vision techniques, the project analyzes the input media, detects objects of interest, and provides an estimation of their size based on known reference points or objects.

Style_Transfer_GAN_Project

To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones

Telecom_Churn_Case_Study

Build a classification model for reducing the churn rate for a telecom company

The_Battle_of_Neighborhoods_Capstone_Project

The Battle of Neighborhoods Capstone Project for the IBM Professional Certificate on Coursera.

Twitter_Sentiment_Analysis_Project

Twitter sentiment analysis is the process of analyzing tweets posted on the Twitter platform to determine the overall sentiment expressed within them. It involves using natural language processing (NLP) and machine learning techniques to classify tweets.