I'm a passionate Data Scientist with a focus on Natural Language Processing, Machine Learning and Deep Learning. 🤖✨
- 📫 How to reach me [email protected]
Name: Vishal Naik
Type: User
Bio: Data Scientist
The goal of this project is to build and tune a model to predict the target column using AWS SageMaker and deploy the model as a Serverless Inference Endpoint
The goal of this project is Build and Tune the hyperparameters of a Sklearn model to predict the target using AWS SageMaker, Deploy the model as a Serverless Inference Endpoint and test it Run Batch Transform on the entire input dataset.
This project aims to provide a comprehensive understanding of the sentiment conveyed in books by using various NLP techniques and regular expressions to extract and analyze the text data. By leveraging the power of Jupyter Notebook, users can easily replicate and extend the analysis performed in this project to any book of their choice.
The objective of this project is to develop a robust data-driven solution that identifies and categorizes top-performing batsmen in the Indian Premier League (IPL) based on their performance metrics.
Accurate categorization of eCommerce products improves user experience and boosts search engine visibility. The project goal is to classify products into 14 predefined categories using their descriptions sourced from an eCommerce platform.
Detects people entering shop, sends owner photo of face via email. Uses OpenCV to detect human faces in webcam images. Enhances shop security & tracking. Code in Python, customizable.
Categorize faces based on emotions (Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral) using deep learning. This project preprocesses data, develops models, and assesses performance with VGG16 and InceptionV3 architectures. Explore data augmentation, custom models, and detailed evaluations.
Processing *.xlsx files to *.pdf files using [python(#excel#pdf#pandas)
Explore demographic insights with EDA-Project! Analyze gender distribution, age trends, and geographic patterns using Jupyter notebooks. Uncover valuable data-driven decisions. 📊✨
In this repo, we analyze a dataset of heart patient metrics to build a model identifying heart disease risks. We focus on comprehensive detection through Exploratory Data Analysis (EDA), preprocessing, and model building using Logistic Regression. Explore our approach and findings!
Predicting hotel booking cancellations using ML & feature engineering. Enhance accuracy with Naive Bayes Classifier. Optimize operations efficiently.
The project aims to predict employee resignations using Logistic Regression, Decision Tree and Random Forest. It involves extensive EDA, data preprocessing, model building, hyperparameter tuning, and model evaluation. The objective is to help organizations take proactive steps to retain valuable employees and maintain stability.
This project aims to detect vehicles and read license plates from video footage. It leverages YOLOv8 for object detection and the SORT algorithm for tracking vehicles across frames. The detected license plates are then processed using EasyOCR to extract the text, with a focus on Indian license plate formats.
Predict emotions (happiness, anger, sadness) from WhatsApp chat data using machine learning and deep learning models. Includes text normalization, vectorization (TF-IDF, BoW, Word2Vec, GloVe), and model evaluation.
Utilizing linear regression on Quikr car data, this project predicts car prices based on features like mileage, present price, age, and model. With data-driven insights, it helps estimate fair prices for buying and selling vehicles, empowering users in their car transactions.
In this repository, we analyze loan application data to predict defaults. Emphasizing model recall, we employ EDA, preprocessing, and model selection. Explore our process and results for effective risk assessment!
A versatile Movie Recommendation System employing Collaborative, Popularity, Content-Based, and Hybrid Filtering. It enhances user engagement on streaming platforms with personalized movie suggestions. Includes a comprehensive report on recommendation techniques.
A todo app
Fetching data from API and sending it through email using python(#email,#api)
Predict next word in sentences using LSTM. Trained on GitHub Copilot support data. Command-line & GUI versions available. Improve text prediction now!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.