grvnair
Data Science practitioner with a passion to leverage ML and DL algorithms to extract insights from Data and create solutions.
India
Pinned Repositories
backtesting-stock-trades
Backtesting stock trading strategies using the Backtesting.py module in Python
Bangalore_Housing_Prices
Developed a Machine Learning model to predict the house prices on Bangalore Housing Prices Dataset.
chatGPT
Built a chatbot using OpenAI's GPT 3.5 Turbo and Gradio's conversational interface
Diabetes_Predictor
The objective of this model is to predict based on diagnostic measurements whether a patient has diabetes.
Flight_Data_Analysis
EDA and Feature engineering using Python including its libraries Pandas, Sklearn, Matplotlib and Seaborn. Dashboard using Power BI.
heart-failure-prediction
Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
Hiring-Model
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.
indian-sign-language-detection
Building Indian Sign Language Detection Model using YOLOv8
knn-from-scratch
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%.
linear-regression-from-scratch
Created a Python program for Linear Regression algorithm from scratch.
grvnair's Repositories
grvnair/backtesting-stock-trades
Backtesting stock trading strategies using the Backtesting.py module in Python
grvnair/Bangalore_Housing_Prices
Developed a Machine Learning model to predict the house prices on Bangalore Housing Prices Dataset.
grvnair/chatGPT
Built a chatbot using OpenAI's GPT 3.5 Turbo and Gradio's conversational interface
grvnair/Diabetes_Predictor
The objective of this model is to predict based on diagnostic measurements whether a patient has diabetes.
grvnair/Flight_Data_Analysis
EDA and Feature engineering using Python including its libraries Pandas, Sklearn, Matplotlib and Seaborn. Dashboard using Power BI.
grvnair/heart-failure-prediction
Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
grvnair/Hiring-Model
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.
grvnair/indian-sign-language-detection
Building Indian Sign Language Detection Model using YOLOv8
grvnair/knn-from-scratch
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%.
grvnair/linear-regression-from-scratch
Created a Python program for Linear Regression algorithm from scratch.
grvnair/logistic-regression-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%.
grvnair/MNIST-classifier-keras
MNIST Handwritten Digits Classification with Keras
grvnair/Movie-Recommender-System
Built a content based recommender system using Cosine similarity.
grvnair/naive-bayes-from-scratch
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%.
grvnair/netflix-data-analysis
Exploratory Data Analysis on Netflix Dataset using Python libraries NumPy, Pandas, Matplotlib, and Seaborn. Built a Power BI dashboard to show the insights.
grvnair/nlp-techniques
Built a Spam Classifier using different vectorization techniques and algorithms.
grvnair/perceptron-from-scratch
Brief introduction to the mathematics behind Perceptron and its implementation in Python using Numpy.
grvnair/rnn-implementation
Built RNN model to predict stock prices of ITC
grvnair/rnn-using-numpy
Built a simple RNN Model using NumPy
grvnair/Spam-Detection
Spam detector using Naïve Bayes Algorithm
grvnair/superstore-sales-analysis
Sales Analysis on Superstore Data
grvnair/Text-to-speech-using-python
Built a text to speech converter using Python's text to speech library