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Name: Gaurav Nair
Type: User
Bio: Data Science practitioner with a passion to leverage ML and DL algorithms to extract insights from Data and create solutions.
Twitter: gaurav_nair19
Location: India
Name: Gaurav Nair
Type: User
Bio: Data Science practitioner with a passion to leverage ML and DL algorithms to extract insights from Data and create solutions.
Twitter: gaurav_nair19
Location: India
Backtesting stock trading strategies using the Backtesting.py module in Python
Developed a Machine Learning model to predict the house prices on Bangalore Housing Prices Dataset.
Built a chatbot using OpenAI's GPT 3.5 Turbo and Gradio's conversational interface
The objective of this model is to predict based on diagnostic measurements whether a patient has diabetes.
EDA and Feature engineering using Python including its libraries Pandas, Sklearn, Matplotlib and Seaborn. Dashboard using Power BI.
Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
The objective of this model is to predict salary of a candidate based on their years of experience, test score and performance in the interview.
Building Indian Sign Language Detection Model using YOLOv8
Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.
Created a Python program for Linear Regression algorithm from scratch.
Built logistic regression algorithm from scratch by calculating the probabilities of each class by applying the sigmoid function on the linear equation. Tested the algorithm on breast cancer detection dataset, which achieved an accuracy of 92.98%.
MNIST Handwritten Digits Classification with Keras
Built a content based recommender system using Cosine similarity.
Naïve Bayes algorithm from scratch using Python. Calculated the mean, variance and probability of each class and returned the class with highest probability using the argmax function. Implemented the algorithm on IRIS dataset and attained the accuracy of 95.56%.
Exploratory Data Analysis on Netflix Dataset using Python libraries NumPy, Pandas, Matplotlib, and Seaborn. Built a Power BI dashboard to show the insights.
Built a Spam Classifier using different vectorization techniques and algorithms.
Brief introduction to the mathematics behind Perceptron and its implementation in Python using Numpy.
Built RNN model to predict stock prices of ITC
Built a simple RNN Model using NumPy
Spam detector using Naïve Bayes Algorithm
Sales Analysis on Superstore Data
Built a text to speech converter using Python's text to speech library
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.