Discover DheerajKumar97/Employee-Salary-Prediction----python--ML Open

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.

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

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

Text-Summarizer-Flask-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.

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

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

FIFA-World-Cup-Analysis

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.

Forest-Cover-Classification-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

IPL-Score-Prediction-with-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.

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

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.

Data_Scientist-Salary-Prediction--Streamlit-Deployment

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.

Student-Perfomance-Analytics

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

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.

Human-Resource-WorkForce-Analytics-Modelling

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.

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

This project is to designed to predict the Adult Income Analysis using classification Technique and here we have faced many challenges like Imbalanced data, High Dispersion and finally solved it and created as web API using Streamlit

Adult-Income-Analysis--Streamlit-Deployment

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

Data-Structures--python

Income-Classification-using-SKlearn-Pipelines-and-Using-SMOTE-

Feature-Selection-Techniques-Python--ML

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.

TMDB-Revenue-Analysis-and-Modeling

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

flask-portfolio

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

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

This Repository Consists of various Solved Analytics Vidhya Hackathon Problem Statements with Various Data Science Techniques

Analytics-Vidya-Competition-Problem-Statement-Solution

This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

Customer-Segmentation-Analytics

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

Employee-Attrition-Rate-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

Flight-Price-Prediction-Flask-Deployment--Heroku

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

Liver-Cancer-Prediction-With-Flask-Deployment

Mobile-Price-Classification

Spam-Classifiers-NLP--Python

Gender-Classification-with-python--ML

Hotel-Booking-Cancellation-

Password-Strength-Classification-Python---ML

BitCoin-Price-Prediction

Air-Quality-Index-Prediction

Amazon-Stock-Price--Prediction-Using-RNN--LSTM

Statistical-Analysis-With-Python---ML

Feature-Engineering-Techniques-Python--ML

This Repository consists of my personal portfolio and it has been developed by using HTML & CSS and BOOTSTRAP. In this Portfolio, my resume, project , Social Contribution everything will be available.

portfolio

Steel-Defect-Detection--ML--Python

In this Repository, you will find the basic SAS operations and procedures to manipulate the dataset and it will useful to get insights from the data. Code for the various procedure for various plots has also been included for people reference

Statistical-Analysis-System

SAS

Web-Scrapping-Job-Demand-Analysis--WordCloud

Text-Summarization

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

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

This project is designed to predict the genre of the movie to give a basic idea of the movie whether the is related to comedy, action, horror, or drama. The web application is developed using Natural Language Processing by implement Bag of words model and some vectorization techniques to predict the genre

Movie-Genre-Prediction-Flask--Deployment

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.

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

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

Topic-Modeling-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.

Sarcasm-Detection-RNN--Bidirectional-lstm-Implementation

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

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

Heart-Disease-Prediction--in-R

Fake-News-Classifier-NLP

Natural-Language-Processing-Basics--Python

Kaggle-Fake-News-Classifier--NLP-

Dataset-Exploration-with-Python

Insurance-Fraud-Detection

Handlinng-Imbalance-Dataset

Flight_Price-Prediction

Credit-Card-Fraud-Detection-using--ML-python

House-Price-Prediction-by-Advance-Regression-Techniques

Black-Friday-Visual-Analytics-

Heart-Disease-Prediction-using-ML-Python

This project has been designed to Analyze and predict the Suicide Rate Trend happening in-country and to analyze the various reasons for them to make suicide. The motivation of this project is a series of suicides happening all around the world without no reason because of depression

Suicide-Rate-Trend-Analysis

In this repository, you will find Pycaret based regression and classification analysis implement with various models and hyperparameter tuning and data was plotted in 3D representation with the help Pycaret Library

Pycaret-Exploration

House-Price-Prediction-Visualization

Big-Mart-Sales-Prediction

Abalone-DataSet-Exploration

Bike-Sharing-Demand-Dataset

Backward-Elimination-MLR

Handiling-Missing-Data

Seaborn-Library-Visualization

Loan-Prediction-Using-ML-Python

Exploratory-Data-Analysis

Recent updation done my skills

DheerajKumar97

Xgboost-Iris-Dataset-in-R

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

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