Projects in Awesome Lists by BatthulaVinay
A curated list of projects in awesome lists by BatthulaVinay .
https://github.com/batthulavinay/tesla-stock-prices-predictions-lstm
This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.
data-visualization deep-learning ltsm matplotlib numpy pandas python seaborn tensorflow train-test-using-sklearn
Last synced: 13 Apr 2025
https://github.com/batthulavinay/predictive-maintenance-for-industrial-equipment
This project focuses on Predictive Maintenance for industrial equipment using machine learning. The goal is to predict potential machine failures before they occur, enabling proactive maintenance and reducing downtime.
accuracy data-visualization datapreprocessing exploratory-data-analysis feature-engineering jupyter-notebook machine-learning-algorithms matplotlib modeldevelopment modelevaluation numpy pandas python recall scikit-learn seaborn
Last synced: 03 Apr 2025
https://github.com/batthulavinay/apple-stock
This repository contains a Jupyter Notebook for Exploratory Data Analysis (EDA) on Apple stock data. The analysis leverages various Python libraries for data manipulation, visualization, and machine learning.
Last synced: 13 Apr 2025
https://github.com/batthulavinay/basic-linear-regression
This project demonstrates Basic Linear Regression using Python. The notebook includes dataset loading, exploratory data analysis, model training, evaluation, and visualization of results.
data-visualization datapreprocessing exploratory-data-analysis linear-regression matplotlib modelevaluation pandas-library
Last synced: 13 Apr 2025
https://github.com/batthulavinay/genz_datingapp-eda-and-ml
This project focuses on analyzing data from a GenZ Dating App to uncover insights, trends, and predictive models. The analysis is conducted using Python in a Jupyter Notebook environment.
classification datacleaning datapreprocessing datavisualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas regression-models scikit-learn seaborn
Last synced: 13 Apr 2025
https://github.com/batthulavinay/ev-population
This repository contains a Jupyter Notebook focused on analyzing Electric Vehicle (EV) population data. The notebook includes data visualizations, exploratory analysis, and key insights.
data-science datacleaning datapreprocessing datavisualization jupyter-notebook matplotlib numpy pandas seaborn
Last synced: 13 Apr 2025
https://github.com/batthulavinay/divorce-status-prediction-eda-and-ml
This project focuses on analyzing data related to divorce status to uncover insights, trends, and predictive models. The analysis is conducted using Python in a Jupyter Notebook environment.
datacleaning datapreprocessing exploratory-data-analysis knn-regression logistic-regression predictive-analytics random-forest xgboost-regression
Last synced: 13 Apr 2025
https://github.com/batthulavinay/resume_vinay
Hi there! 👋 I'm Batthula Vinay Aspiring Data Scientist passionate about leveraging AI/ML for impactful solutions. My expertise lies in Machine Learning, Deep Learning, Data Analytics, and Renewable Energy Optimization. I'm always exploring new tools and techniques to enhance my skills.
Last synced: 13 Apr 2025
https://github.com/batthulavinay/annmppt
ANN-based MPPT (Artificial Neural Network-based Maximum Power Point Tracking) is a technique used in solar photovoltaic (PV) systems to maximize energy extraction from solar panels.
ann incremental mppt neural-networks
Last synced: 13 Apr 2025
https://github.com/batthulavinay/football-match-data-analysis
This project focuses on analyzing football match data to uncover insights, trends, and performance metrics. The analysis is conducted using Python in a Jupyter Notebook environment.
datacleaning datavisualization exploratory-data-analysis jupyter-notebook matplolib numpy pandas seaborn
Last synced: 13 Apr 2025
https://github.com/batthulavinay/skills-introduction-to-github
My clone repository
Last synced: 13 Apr 2025
https://github.com/batthulavinay/house-price-prediction
This competition aims to predict housing prices based on various features such as location, square footage, and number of bedrooms. The dataset consists of historical housing prices, and submissions will be evaluated based on Root Mean Squared Error (RMSE)
Last synced: 13 Apr 2025
https://github.com/batthulavinay/hacker-rank
This repository showcases my HackerRank SQL (Basic) Certification, demonstrating my proficiency in fundamental SQL concepts, including querying databases, filtering data, and basic aggregations
Last synced: 04 Mar 2025
https://github.com/batthulavinay/kaggle-certifications
Kaggle Certifications
Last synced: 25 Feb 2025
https://github.com/batthulavinay/phone-usage-analysis
This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.
accuracy-score adaboost classification-report confusion-matrix datapreprocessing datavisualization exploratory-data-analysis gradient-boosting imbalanced-data jupyter-notebook lightgbm logistic-regression matplotlib numpy pandas random-forest scikit-learn seaborn supportvectormachines xgboost
Last synced: 13 Apr 2025
https://github.com/batthulavinay/covid-19-data-science-exploratory-analysis-key-findings
Last synced: 24 Mar 2025
https://github.com/batthulavinay/datasets
This dataset contains structure
datasets divorce food marriage phone t20-world-cup telsa
Last synced: 24 Mar 2025
https://github.com/batthulavinay/which-anime-dominates-the-world
This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 24 Mar 2025
https://github.com/batthulavinay/time-series-analysis-visualization-in-python
This project demonstrates time series analysis and visualization techniques using Python. The dataset consists of stock market data, and the project includes various preprocessing, statistical tests, and visualization techniques to analyze trends and patterns over time.
dataprocessing matplotlib numpy pandas seaborn statistical-analysis statsmodels time-series
Last synced: 02 Apr 2025
https://github.com/batthulavinay/indian-food-insights---exploratory-data-analysis-eda
This project performs an **Exploratory Data Analysis (EDA)** on an Indian food dataset to uncover insights about different cuisines, ingredients, nutritional values, and regional food trends.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 12 Mar 2025
https://github.com/batthulavinay/batthulavinay
Config files for my GitHub profile.
Last synced: 13 Apr 2025
https://github.com/batthulavinay/premier-league-football
This project analyzes football match data to extract insights and visualize performance metrics of various teams in the Premier League. The dataset includes match results, goals scored, goals conceded, and other relevant statistics.
Last synced: 13 Apr 2025