DheerajKumar97

Amazon-Product-Reviews-LSTM--NLP-with-Deployment

This project is designed to predict Amazon Product review sentiment analysis and this analysis is used to give feedback about the quality of the Products. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the product reviews.

Automated-ML-Application-for-EDA-Streamlit-Deployment--Heroku

This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using Python, Streamlit. For executing all the operations customized function has been created and with support of these functions every step will be executed. EDA like basic information about data, Tabulation Analysis, Distribution Analysis, Correlation Analysis and it has been extended to perform Advance Statistical Analysis with some Basic Feature Engineering has been Automated. This Project has been Deployed with Streamlit in Heroku Cloud Platform

Customer-Life-Time-Value-Prediction-Flask-Deployment--Heroku

The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfying all MLR Assumptions. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.

Data_Scientist-Salary-Prediction--Streamlit-Deployment

The motive of the project is to predict the Data Scientist Salary and it is implemented by satisfying all Regression Assumptions and also implemented some NLP for some features. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.

Drug-Review-Sentiment-Analysis-RNN-Bidirectional-lstm--Flask-Deployment

This Project is based on sentiment analysis of the drug whether the drug should be given for patients, it is advisable or not to the patients. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the drug reviews.

FIFA-World-Cup-Analysis

The Motive of this project is to analyze FIFA World Cup Data,we have the data from 1930 to 2014. The data we have is separated by Matches ,Players and Cup Holders since 1930 to 2014. Lot of Analysis has been done with nice Visualizations to understand and to get insights from data

Forest-Cover-Classification-Flask--Deployment-Heroku

The Requirement of a Business Problem is to develop a predictive model to Analyze and to classify the Coverage type of the forest using Classification Analysis with Python.

Imdb-Sentiment-Analysis-Flask-Deployment--Heroku

This project is designed to predict IMDB Movie review sentiment analysis and this analysis is used to give feedback about the quality of the movie. This project is implemented using Natural Language processing using bag of words model and other techniques like vectorization to analyze the reviews.

IPL-Score-Prediction-with-Flask-Deployment-Heroku

This Project is based on Sports Analytics, it is implemented to predict the cricket score of the team and deployed as a web API using Flask. For Better results, I have not included the result as accurate score instead of that my prediction will be in a range of prediction -10and prediction +10

Text-Summarizer-Flask-Deployment

This project is based on a Basic Text summarizer implemented with the concept of Cosine Similarity. Every basic preprocessing and Feature Engineering steps in Natural Language Processing is implemented and deployed as web API using Flask Deployment

DheerajKumar97/Automated-ML-Application-for-EDA-Streamlit-Deployment--Heroku

This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using Python, Streamlit. For executing all the operations customized function has been created and with support of these functions every step will be executed. EDA like basic information about data, Tabulation Analysis, Distribution Analysis, Correlation Analysis and it has been extended to perform Advance Statistical Analysis with some Basic Feature Engineering has been Automated. This Project has been Deployed with Streamlit in Heroku Cloud Platform

DheerajKumar97/Customer-Life-Time-Value-Prediction-Flask-Deployment--Heroku

The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfying all MLR Assumptions. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.

DheerajKumar97/Text-Summarizer-Flask-Deployment

This project is based on a Basic Text summarizer implemented with the concept of Cosine Similarity. Every basic preprocessing and Feature Engineering steps in Natural Language Processing is implemented and deployed as web API using Flask Deployment

DheerajKumar97/Amazon-Product-Reviews-LSTM--NLP-with-Deployment

This project is designed to predict Amazon Product review sentiment analysis and this analysis is used to give feedback about the quality of the Products. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the product reviews.

DheerajKumar97/Forest-Cover-Classification-Flask--Deployment-Heroku

The Requirement of a Business Problem is to develop a predictive model to Analyze and to classify the Coverage type of the forest using Classification Analysis with Python.

DheerajKumar97/Imdb-Sentiment-Analysis-Flask-Deployment--Heroku

This project is designed to predict IMDB Movie review sentiment analysis and this analysis is used to give feedback about the quality of the movie. This project is implemented using Natural Language processing using bag of words model and other techniques like vectorization to analyze the reviews.

DheerajKumar97/IPL-Score-Prediction-with-Flask-Deployment-Heroku

This Project is based on Sports Analytics, it is implemented to predict the cricket score of the team and deployed as a web API using Flask. For Better results, I have not included the result as accurate score instead of that my prediction will be in a range of prediction -10and prediction +10

DheerajKumar97/Student-Perfomance-Analytics

The motive of the project is to predict the performance of the students in their exams and it is implemented Classification Analysis. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.

DheerajKumar97/Breast-Cancer-Prediction--with-Flask-Deployment--Heroku

DheerajKumar97/Data-Structures--python

This Repository will contain the concept of Data Structures like Linked List, Arrays, Stack and Queue, Hash Table, Binary Search Tree, AVL Tree, Splay Tree, Infix To postFix Convertion etc in Python OOPS Concept

DheerajKumar97/Drug-Review-Sentiment-Analysis-RNN-Bidirectional-lstm--Flask-Deployment

This Project is based on sentiment analysis of the drug whether the drug should be given for patients, it is advisable or not to the patients. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the drug reviews.

DheerajKumar97/Human-Resource-WorkForce-Analytics-Modelling

The Requirement of a Business Problem is to develop a predictive model to Analyse and to Predict the WorkForce Analytics of Private Organization to improve the company's performance using Classification Analysis with Python.

DheerajKumar97/Employee-Attrition-Rate-Prediction-Flask--Deployment-Heroku

This project is designed to predict Employee Attrition Rate based on the Employee working hours, age, monthly income, Daily Rate, Total Work Experience, and distance from home. This project is developed with python and deployed as a web API with Flask in Heroku Cloud Platform

DheerajKumar97/flask-portfolio

This Repository Consists of my portfolio, here you can find professional details, projects, articles, and further information which related to my career.

DheerajKumar97/Flight-Price-Prediction-Flask-Deployment--Heroku

This Project is designed to predict the flight travel price using Regression Analysis by satisfying all MLR Assumptions and it has created as web API using Flask Deployment

DheerajKumar97/Liver-Cancer-Prediction-With-Flask-Deployment

This project is to designed to predict the Liver Cancer Prediction using classification Technique to find the probability for the presence of cancer and here we have faced many challenges like Imbalanced data, High Dispersion and finally solved it and created as web API using Flask

DheerajKumar97/Scraped-AI-Tweet-Sentiment-Analysis-RNN-lstm-Modeling

This Project is designed to analyze the sentiment of AI by scrapping the AI tweets from twitter by connecting the twitter API using python with selenium driver and modeled the data using Recurrent Neural Network with LSTM

DheerajKumar97/TMDB-Revenue-Analysis-and-Modeling

The Requirement of a Business Problem is to develop a predictive model to Analyse and to Predit the Movie DataBase Revenue Prediction using Regression Analysis with Python.

DheerajKumar97/Fake-Job-Posting-Prediction-ML-Pipeline--Bidirectional--lstm--RNN

This Project is based on sentiment analysis of the job postings and goal is to classify job postings are fake are not. This project is implemented using Natural Language processing using Tokenization and glove embedding model and data modelled by Bidirectional RNN lstm Architecture.

DheerajKumar97/Linear-and-Generalized-Linear-Model-Algorithms-from-scratch

In this project i have implemented Linear Regression and Logistic Regression from Scratch without using any of the inbuilt libraries or packages from Scikit Learn, Every step will be implemented in Custom Function manner for the code reusability

DheerajKumar97/Sarcasm-Detection-RNN--Bidirectional-lstm-Implementation

This Project is designed to implement Sarcasm Detection by classifying the text into two classes (Sarcastic or Non Sarcastic). The implementation of this project has been done with RNN Bidirectional lstm to classify those texts.

DheerajKumar97/Topic-Modeling-RNN-Bidirectional-lstm--Implementation

In this Project the concept of Topic Modeling has been Implemented, basic NLP preprocessing has been performed and data has been prepared using tokenization and pad sequence techniques to model data with Bidirectional RNN lstm

DheerajKumar97/US-2020-Election-Campaign-Youtube-Comments-Sentiment-Analysis-RNN-Bidirect--lstm-Flask-Deployment

Data for this project Scrapped from Top 8 US YouTube News channels and Implemented Sentimental Analysis using Bidirectional lstm RNN Architecture and Deployed using Flask Framework

DheerajKumar97/DheerajKumar97

Recent updation done my skills

DheerajKumar97/Fast-API--MongoDB-CRUD-operations-with-Registration-and-Login-sysem-in-MVC-Pattern

FastAPI and MongoDB based CRUD operations has been implemented with jwt token based login system and registration in MVC Pattern

DheerajKumar97/Advance-DAX-Expressions

DheerajKumar97/Azure-DataBricks-Data-Exploration-ETL-Pipeline

DheerajKumar97/SQL-Pocket-Projects

DheerajKumar97/SQLalchemy-ORM-CRUD-Operations-with-token-based-Authentication

This Flask Rest Framework api is created to maintain and perform CRUD Operations on customer database with Token Based Authentication and tested with postman client and finally hosted in AWS RDS Mysql with Zappa

DheerajKumar97/Wireless-Task-Tracker-Python-MySQL-ORM-TCP-Docker--AWS--Backed

This project is designed as an TCP based list making Application for tracking and managing daily tasks or project lifecycle using Python, Flask, ORM, MySQL, Docker by following highly scalable Model View Controller Pattern