Simple Country Happiness Prediction with machine learning and Tensorflow
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Updated
Jun 18, 2018 - Jupyter Notebook
Simple Country Happiness Prediction with machine learning and Tensorflow
An anime recommendation engine that allows us to recommend anime based on a given anime title or a given user using Pyspark
This repository contains the ipython notebook of covid19 study. This notebook was made possible in kaggle. Changes and improvements are always welcome.
This is my personal repository for studies in deep learning
All python regex operations with comments containing explanation
This Python notebook demonstrates the application of Support Vector Machines (SVM) for classification tasks on the MNIST dataset. The notebook covers data preprocessing, hyperparameter tuning, and dimensionality reduction using PCA.
This notebook presents a Machine Learning Model Comparison for the Prediction of Rain in Australia
Natural Language Processing basics with comments for explanation
Short challenge used in interview couple years ago
It Predicts whether the given patient is having a Malignant or Benign tumor based on the attributes in the given dataset.
Statistical analysis on different diet plans
In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.
Classify the user as defaulter/non-defaulter based on various financial parameters
Notebook for web scraping and cleaning list of all ISRO missions, satellites, launches ...
this a collection of python notebook which i made during reading andrew trasks book Grokking deep learning
House Prices Kaggle competition using scikit-learn models.
CPSC 5305 01 22FQ Introduction to Data Science Project
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