Pinned Repositories
CNN
Credit_card_fraud_detection_ULB_with_Apache_Spark_on_Databricks
Credit card fraud detection model using Spark and LightGBMClassifier in Databricks runtime environment using dataset provided by Machine Learning Group at Université libre de Bruxelles (ULB).
Customer-Segmentation
This project applies customer segmentation.
House-Prices---Advanced-Regression-Techniques
House Prices: Advanced Regression Techniques
Machine-Learning-Deployment-using-Docker
Deploy a Machine Learning model into production using Docker
Real-Time-Emotion-Detection
Real time Emotion Detection
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
Time-Series-Forcasting-the-number-of-Passengers-for-the-next-3-years
The purpose of this project is to process the time series, identify its nature, choose the suitable model, find the optimal combination of parameters and finally make future prediction.
youtube_ai_ml
HasnaeTalibi's Repositories
HasnaeTalibi/House-Prices---Advanced-Regression-Techniques
House Prices: Advanced Regression Techniques
HasnaeTalibi/Machine-Learning-Deployment-using-Docker
Deploy a Machine Learning model into production using Docker
HasnaeTalibi/Real-Time-Emotion-Detection
Real time Emotion Detection
HasnaeTalibi/Time-Series-Forcasting-the-number-of-Passengers-for-the-next-3-years
The purpose of this project is to process the time series, identify its nature, choose the suitable model, find the optimal combination of parameters and finally make future prediction.
HasnaeTalibi/youtube_ai_ml
HasnaeTalibi/CNN
HasnaeTalibi/Credit_card_fraud_detection_ULB_with_Apache_Spark_on_Databricks
Credit card fraud detection model using Spark and LightGBMClassifier in Databricks runtime environment using dataset provided by Machine Learning Group at Université libre de Bruxelles (ULB).
HasnaeTalibi/Customer-Segmentation
This project applies customer segmentation.
HasnaeTalibi/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
HasnaeTalibi/Deploy-A-simlpe-Regression-model-with-Flask
Deploy a Machine Learning model into production
HasnaeTalibi/Deploy-A-simple-Regression-model-using-Sreamlit
Deploy a Machine Learning model using Streamlit
HasnaeTalibi/End-To-End-ML-Project-Predict-Flight-Price
End to end flight price prediction Machine learning-based project developed using flask & deployed on Heroku app.
HasnaeTalibi/Fake-New-LSTM
HasnaeTalibi/Flower-Classification-CNN
Classification of flowers from Kaggle Dataset using Deep Convolutional Neural Network (CNN)
HasnaeTalibi/housing-price-prediction-pyspark
Housing price prediction using machine learning in pyspark
HasnaeTalibi/IPL-First-Innings-Score-Prediction-Deployment
HasnaeTalibi/Modele_predictif_probleme
HasnaeTalibi/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
HasnaeTalibi/Notes
HasnaeTalibi/Predict-California-Housing-Prices-
Discovering and visualizing California House pricing dataset to gain insights,preparing it for Machine Learning algorithms and selecting a model to train
HasnaeTalibi/Predict-Wine-Quality
A project investigating the relationship between wine quality and the chemical properties of the wine
HasnaeTalibi/Python-Tutorials
HasnaeTalibi/RealTimeEmotionsRecognition
HasnaeTalibi/seaborn
This is the Seaborn cheat sheet I made to go along with my Learn Seaborn in One Video Tutorial
HasnaeTalibi/SpeechRecognition
HasnaeTalibi/TEST
HasnaeTalibi/Titanic-Project
Welcome to my second Notebook !
HasnaeTalibi/Tweets_Classification
HasnaeTalibi/twitter-sentiment-analysis-algorithm-comparison
Comparison of different techniques in machine learning to see which algorithm has the highest accuracy.
HasnaeTalibi/Word-Embedding