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Registered over 4 years ago
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Location π©πΏ Algeria
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Top repositories
Predicting-the-closing-stock-price-of-APPLE-using-LSTM
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.beginner_python_projects
This repository contain 10 python friendly projects for bigenner to start learning python by building projects.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 ...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.Machine-Learning-Algorithms-Tutorials
Basic Machine Learning Algorithms tutorials (Linear Regression, Logistic Regression, SVM, Random Forest, Bagging, KNN, K-Means ...)Natural-Language-Processing
Natural Language Processing projects and TutorialsIBM_HR_Analytics_Employee_And_Performance
Predict attrition of your valuable employeesmachine_learning_in_python_with_scikit_learn
Fashion-Class-Classification
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.Using-Gradient-Boosting-for-Time-Series-prediction-tasks
Predicting_Loan_Defaulters_Using_Deep_Learning
In this case study, we will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.Business-Case-Study---Absenteeism
Natural_Language_Processing_Sentiment_Analysis
Euler_Problems
MNIST-Handwritten-Digit-Recognition
data_analysis_in_python_with_pandas
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.House-price-prediction-Kaggle-Competition
SIIM-ISIC-Melanoma-Classification
Identify melanoma in lesion images Kaggle CompetitionData-Science-BEST-practices
Data science and EDA best practices using Pandasdata_visualization
Algorithms_and_data_structures
Predicting-heart-disease-using-machine-learning
Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0). See if you can find any other trends in heart data to predict certain cardiovascular events or find any clear indications of heart health.Real-or-Not-NLP-with-Disaster-Tweets
Predict which Tweets are about real disasters and which ones are notBusiness-Case-Study-Audiobook-app
Natural-Language-Processing-with-Python
Can you use this dataset to build a prediction model that will accurately classify which texts are spam?Time_Series_Analysis_Tutorial
A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.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
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.web_page_dashboard
Blue-Book-for-Bulldozers-Kaggle-Competition
Automobile_Consulting_Company_Predicting_Cars_Prices
Malaria_Cell_Classification_Using_CNNs
Git_and_GitHub_Tutorial
pandas
Full data analysis and data visualization projects notebooks using Pandas, Numpy, matplotlib and seabornPredicting-the-Likelihood-of-E-Signing-a-Loan-Based-on-Financial-History
Develop a model to predict for 'quality' applicants are those who reach a key part of the loan application process.Telecom_Customer_Churn_Prediction
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.Computer_Vision_with_OpenCV_and_TensorFlow