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Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
react python open-source data-science machine-learning clustering scikit-learn ml regression classification automl anomaly-detection mlops fastapi pycaret
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
javascript python machine-learning deep-learning tensorflow scikit-learn sklearn blockly hacktoberfest pycaret blockly-games
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
python data-science machine-learning deep-learning tensorflow keras gcp automl tpot mljar mlflow autokeras tensorflow2 pycaret
AI Makerspace: Blueprints for developing AI applications with cutting-edge technologies.
mcp transformers generative-adversarial-network machinelearning gpt tableau kubernetes-deployment googlecloudplatform virtual-assistant neural-style-transfer sagemaker fastapi huggingface pycaret dvc-pipeline vertex-ai claudecode
Repository for the book Simplifying Machine Learning with PyCaret.
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
data-science numpy scikit-learn pandas seaborn xgboost lightgbm matplotlib imbalanced-data catboost tensorflow2 pycaret datascienv data-science-env
Renewcast: Forecasting Renewable Electricity Generation in EU Countries.
EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)
visualization python ggplot2 r random-forest clustering numpy svm linear-regression scikit-learn exploratory-data-analysis eda pandas xgboost logistic-regression recommender-system decision-trees gradio time-series-analysis pycaret
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
python machine-learning numpy scikit-learn sklearn machine-learning-algorithms ml eda pandas scikitlearn-machine-learning pycaret
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
machine-learning time-series python3 pytorch lstm sensor-data hypothesis-testing svm-model clustering-algorithm anomaly-detection experimental-design predictive-maintenance knn-model nonparametric-statistics iforest-model conover pycaret bilstm-model histogram-based-outlier-score minimum-covariance-determinant
Python Projects During Three Years
python csp data analysis multithreading eda python3 snake-game sudoku tictactoe dynamic-programming dp tictactoe-python pycaret
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)
Streamlit based web application for churn prediction
Prophet, Xgboost, RandomForest, LSTM, Wavenet
Hackathon - DELL HACK2HIRE 2021 - MSG Automl - A Streamlit based Automl system to help beginner and data specialist to find the best model to make prediction in classification, regression and clustering by the help of Pycaret Library.
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes
python machine-learning random-forest svm image-processing xgboost logistic-regression support-vector-machines softmax-regression iris-classification pycaret
A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.
python machine-learning clustering numpy sklearn regression pandas classification automl arima-forecasting pycaret h20automl evalml flaml
Jupyter Notebook Templates for quick prototyping of machine learning solutions
python scikit-learn hyperparameter-optimization jupyter-notebooks lux pandas-profiling imbalanced-learning shapley scikit-optimize pycaret
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