1. ๐ง Machine Learning Fundamentals
- www.scikit-learn.org
- www.tensorflow.org
- www.pytorch.org
- www.keras.io
- www.mathworks.com
- www.wolfram.com
- www.statlearning.com
- www.elementsofai.com
2. ๐ Python for Machine Learning
- www.python.org
- www.numpy.org
- www.pandas.pydata.org
- www.scipy.org
- www.matplotlib.org
- www.seaborn.pydata.org
- www.jupyter.org
- www.plotly.com
- www.sympy.org
3. ๐ Supervised Learning
Important technologies:
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Gradient Boosting
- SVM
- KNN
- Naive Bayes
Useful library:
- www.scikit-learn.org
- www.xgboost.readthedocs.io
- www.lightgbm.readthedocs.io
- www.catboost.ai
4. ๐ Unsupervised Learning
- www.scikit-learn.org
- www.h2o.ai
- www.umap-learn.readthedocs.io
- www.scipy.org
Topics:
- K-Means
- DBSCAN
- Hierarchical Clustering
- PCA
- Dimensionality Reduction
- Anomaly Detection
5. ๐ณ Decision Trees / Ensemble Learning
- www.xgboost.readthedocs.io
- www.lightgbm.readthedocs.io
- www.catboost.ai
- www.scikit-learn.org
- www.h2o.ai
XGBoost, LightGBM, CatBoost aur scikit-learn production ML mein commonly used ecosystem ka important part hain; MLflow bhi in frameworks ke model integrations provide karta hai.
6. ๐ง Deep Learning
- www.pytorch.org
- www.tensorflow.org
- www.keras.io
- www.deeplearning.ai
- www.fast.ai
- www.deeplearningbook.org
7. ๐️ Computer Vision
- www.opencv.org
- www.pytorch.org/vision
- www.tensorflow.org
- www.ultralytics.com
- www.roboflow.com
- www.cvat.ai
- www.supervisely.com
- www.kornia.github.io
- www.detectron2.readthedocs.io
8. ๐ฃ️ NLP — Natural Language Processing
- www.nltk.org
- www.spacy.io
- www.huggingface.co
- www.huggingface.co/transformers
- www.gensim.io
- www.flairnlp.github.io
- www.stanfordnlp.github.io
9. ๐ค Hugging Face
- www.huggingface.co
- www.huggingface.co/models
- www.huggingface.co/datasets
- www.huggingface.co/spaces
- www.huggingface.co/learn
- www.huggingface.co/docs
10. ๐ Time Series / Forecasting
- www.statsmodels.org
- www.sktime.net
- www.darts.readthedocs.io
- www.pytorchforecasting.ai
- www.prophet.readthedocs.io
- www.gluonts.org
11. ๐ฏ Reinforcement Learning
- www.openai.com/research
- www.gymnasium.farama.org
- www.pytorch.org
- www.tensorflow.org/agents
- www.stable-baselines3.readthedocs.io
- www.ray.io
12. ๐️ Machine Learning Datasets
- www.kaggle.com/datasets
- www.huggingface.co/datasets
- www.uci.edu
- www.openml.org
- www.data.gov
- www.google.com/datasets
- www.aws.amazon.com/opendata
- www.microsoft.com/research
13. ๐ Kaggle
- www.kaggle.com
- www.kaggle.com/learn
- www.kaggle.com/datasets
- www.kaggle.com/competitions
- www.kaggle.com/code
Kaggle especially useful hai datasets + notebooks + competitions + practical ML projects ke liye.
14. ๐งช Model Evaluation / Experimentation
- www.scikit-learn.org
- www.mlflow.org
- www.wandb.ai
- www.comet.com
- www.neptune.ai
- www.arize.com
- www.evidentlyai.com
15. ๐ MLOps
- www.mlflow.org
- www.kubeflow.org
- www.kubernetes.io
- www.docker.com
- www.terraform.io
- www.wandb.ai
- www.dvc.org
- www.bentoml.com
- www.feast.dev
- www.metaflow.org
MLflow ab traditional ML ke saath experiment tracking, model packaging, registry, deployment aur evaluation bhi support karta hai.
16. ☁️ AWS Machine Learning
- www.aws.amazon.com/machine-learning
- www.aws.amazon.com/sagemaker
- www.aws.amazon.com/bedrock
- www.docs.aws.amazon.com/sagemaker
17. ☁️ Microsoft Azure Machine Learning
- www.azure.microsoft.com
- www.azure.microsoft.com/products/machine-learning
- www.learn.microsoft.com
- www.learn.microsoft.com/azure/machine-learning
18. ☁️ Google Cloud Machine Learning
- www.cloud.google.com/ai
- www.cloud.google.com/vertex-ai
- www.cloud.google.com/learn
- www.developers.google.com/machine-learning
Google ka current ML learning ecosystem fundamentals se lekar ML engineering, Vertex AI, TensorFlow aur MLOps tak cover karta hai.
19. ๐ Machine Learning Courses
- www.deeplearning.ai
- www.deeplearning.ai/courses
- www.deeplearning.ai/specializations/machine-learning
- www.coursera.org
- www.edx.org
- www.fast.ai
- www.kaggle.com/learn
- www.developers.google.com/machine-learning
- www.cloud.google.com/learn/training/machinelearning-ai
Google ka Machine Learning Crash Course practical exercises aur interactive visualizations ke saath ML fundamentals sikhata hai.
20. ๐ Mathematics for Machine Learning
- www.khanacademy.org
- www.3blue1brown.com
- www.mathworks.com
- www.wolframalpha.com
- www.statlearning.com
- www.mit.edu
- www.coursera.org
Important topics:
- Linear Algebra
- Probability
- Statistics
- Calculus
- Optimization
- Gradient Descent
21. ๐ฌ ML Research / Papers
- www.arxiv.org
- www.paperswithcode.com
- www.research.google
- www.microsoft.com/research
- www.ai.meta.com/research
- www.openai.com/research
- www.deepmind.google/research
- www.nature.com
- www.jmlr.org
- www.acm.org
22. ๐งฉ AutoML
- www.h2o.ai
- www.automl.org
- www.auto-sklearn.github.io
- www.autogluon.ai
- www.mljar.com
- www.dataiku.com
23. ๐ฅ Popular ML Frameworks / Libraries
- www.scikit-learn.org
- www.pytorch.org
- www.tensorflow.org
- www.keras.io
- www.xgboost.readthedocs.io
- www.lightgbm.readthedocs.io
- www.catboost.ai
- www.h2o.ai
- www.jax.readthedocs.io
- www.paddlepaddle.org.cn
24. ๐ญ Production ML / Model Deployment
- www.mlflow.org
- www.bentoml.com
- www.kubeflow.org
- www.seldon.io
- www.cortex.dev
- www.triton-inference-server.com
- www.oryx.ml
25. ๐ป ML Development / GitHub
- www.github.com
- www.gitlab.com
- www.github.com/topics/machine-learning
- www.github.com/topics/deep-learning
- www.github.com/topics/data-science
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