Prajwal Krishna's Projects
100 Days of ML Coding
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Goal is to predict whether a person has an income of more than 50K a year or not. This is basically a binary classification problem where a person is classified into the >50K group or <=50K group.
The purpose of this project is to predict the price of Airbnb rentals based on various features of the properties listed on the platform. The code in this repository is written in Python and uses several machine learning algorithms to train and test a predictive model.
Coursera Machine Learning, NLP, Deep Learning Notes
The Automated ML web app project leverages Python along with Pandas Profiling, PyCaret, and Streamlit to provide a seamless and user-friendly experience for automating machine learning workflows. It enables users to effortlessly explore, preprocess, model, and download the trained model
The objective of this data science project is to develop a text classification model that can accurately categorize news articles into predefined categories.
Boston Consulting Group Data Science & Advanced Analytics Virtual Experience Program
Bicycle demand prediction is crucial for businesses and organizations involved in bike rental services, city planning, and transportation. Evidently AI allows us to create interpretable and actionable reports for our bicycle demand forecasting models, helping us make informed decisions.
A repository of 60 useful data science prompts for ChatGPT
Consignment-Price Prediction project aims to develop a machine learning model that can accurately predict the price of consignment items based on various features and variables
This project is a data science project that focuses on predicting whether a credit card holder will default on their payments or not.
The objective of this data science project is to develop a predictive model that can identify customers at risk of churning. By analyzing historical customer data and utilizing machine learning techniques, the goal is to create a model that can predict which customers are likely to churn in the near future.
This is a binary classification problem, The goal is to predict which of the two levels of satisfaction with the airline the passenger belongs to: Satisfaction, Neutral or dissatisfied
The goal is to create a reliable system that can proactively anticipate customer sentiment, enabling businesses to make informed decisions and improvements to enhance overall customer satisfaction.
Open Source Data Science Resources.
Explore the fascinating world of deep learning with this comprehensive repository of notes. Covering fundamental concepts, advanced techniques, and practical implementations, this collection is a valuable resource for both beginners and experienced practitioners. Dive into neural networks, convolutional networks, recurrent networks, and much more.
Practical Deep Learning Notes- Computer Vision, Natural Language Processing, Time Series, Sequence Models and Predictions.
codes related to my dsa course on python
This repository contains the code and resources for a data science project focused on predicting diamond prices. The goal of this project is to develop a machine learning model that can accurately predict the price of diamonds based on various features.
Gemini Pro, your do-it-all AI tool, translates languages, sparks creativity, and answers questions, all while efficiently running on devices from phones to data centers, making it accessible for developers and businesses to unlock AI's potential.
This is a project aiming to optimize the recruitment process. It integrates an advanced Applicant Tracking System with Google Gemini Pro, streamlining resume parsing, keyword matching, and candidate evaluation for an efficient end-to-end solution in talent acquisition.
This project aims to predict the insurance premium for individuals based on their demographic and medical information.