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algorithms_and_data_structures

automobile_consulting_company_predicting_cars_prices

beginner_python_projects

This repository contain 10 python friendly projects for bigenner to start learning python by building projects.

blue-book-for-bulldozers-kaggle-competition

business-case-study---absenteeism

business-case-study-audiobook-app

cifar-10_image_classification_using_cnns

The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

coderbyte

computer_vision_with_opencv_and_tensorflow

credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

data-science-best-practices

Data science and EDA best practices using Pandas

data-science-projects-from-kaggle

Data science projects from the Kaggle website: Data Analysis, Data Visualization, Machine Learning, Time Series Analysis, Computer Vision, Natural Language Processing, Predictive Modeling ...

data_analysis_in_python_with_pandas

data_visualization

directing-customers-to-subscription-through-app-behavior-analysis

The objective of this model is to predict which users will not subscribe to the paid membership so that greater marketing efforts can go into trying to "convert" them to paid users.

euler_problems

fashion-class-classification

git_and_github_tutorial

hlb-cifar10

Train to 94% on CIFAR-10 in less than 10 seconds on a single A100, the current world record. Or ~95.77% in ~188 seconds.

house-price-prediction-kaggle-competition

ibm_hr_analytics_employee_and_performance

Predict attrition of your valuable employees

machine-learning-algorithms-tutorials

Basic Machine Learning Algorithms tutorials (Linear Regression, Logistic Regression, SVM, Random Forest, Bagging, KNN, K-Means ...)

machine_learning_deployment_with_streamlit

In this project, I used data from a Kaggle competition and build machine learning models to classify a text as Disaster or Not. The model is deployed on Heroku.

machine_learning_in_python_with_scikit_learn

malaria_cell_classification_using_cnns

minimizing-churn-rate-through-analysis-of-financial-habits

The objective of this model is to predict which users are likely to churn, so that the company can focus on re-engaging these users with the product. These efforts can be email reminders about the benefits of the product, especially focusing on features that are new or that the user has shown to value.

mnist-handwritten-digit-recognition

natural-language-processing

Natural Language Processing projects and Tutorials

natural-language-processing-with-python

Can you use this dataset to build a prediction model that will accurately classify which texts are spam?

natural_language_processing_sentiment_analysis