Projects in Awesome Lists by aarryasutar
A curated list of projects in awesome lists by aarryasutar .
https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
Last synced: 20 Jan 2026
https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split
Last synced: 14 Apr 2026
https://github.com/aarryasutar/hate_speech_detection
This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.
confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud
Last synced: 09 Apr 2026
https://github.com/aarryasutar/thefitnessclub.com
A stylish website displaying gym services and personalised diet plans. The structure is made using HTML while the styling is done using CSS. The header, footer and some more elements like the pricing display is done using Bootstrap. Icons are used from Remixicons website
bootstrap css diet-website gym gym-website gymnasium html images javascript remixicons responsive scss
Last synced: 12 Apr 2026
https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/aarryasutar/1stop.ai-data-science
This has a list of all the Python concepts, the codes and explanations from the beginner level. These are the concepts I learned as a Data Science Intern at 1Stop.ai
dictionary-python lists-python variables
Last synced: 31 Jul 2025
https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm
Last synced: 15 Apr 2026
https://github.com/aarryasutar/prodigy_ds_internship
These projects as a part of my Data Science internship involve data visualisation, analysis, & prediction using various datasets and machine learning techniques. They utilize libraries like pandas, matplotlib, seaborn, scikit-learn, and NLTK for tasks ranging from gender and age visualisation to sentiment analysis and decision tree classification.
bank-marketing-analysis barchart data-science eda exploratory-data-analysis heatmap histogram internships matplotlib pandas prodigy-infotech pyplot python scikit-learn seaborn sentiment-analysis
Last synced: 01 May 2026
https://github.com/aarryasutar/corizo_ds_internship
This repository conducts all the tutorials, concepts, code snippets and other material needed to learn Data Science as a beginner.
ai colab-notebook data-science ml python
Last synced: 13 May 2026