Top 10 Books/Resources/Algorithms/Library/Roles in Machine Learning, Data Science, Python.
TOP 10 DATA SCIENCE BOOKS
- Introduction to Statistical Learning
- Data Science at the command line.
- Think stats.
- Python data science handbook
- R for data science.
- Machine Learning yearning.
- Ethics and data science.
- Deep Learning.
- Rules for machine learning.
- Probabilistic Programming & Bayesian methods.
TOP 10 DATA SCIENCE RESOURCES ONLINE.
- Coursera: Stanford & Johns Hapkins.
- Metis.
- EdX: Data Science essentials.
- Udacity.
- Kaggle
- Analytics Vidhya.
- KDNuggets.
- Datacamp.
- Udemy.
- Dataquest.
TOP 10 MACHINE LEARNING ALGORITHMS.
- Linear Regression.
- Logistic Regression.
- Decision Trees.
- Random Forests.
- K means Clustering.
- Support Vector Machine.
- Artificial Neural Network.
- XGBoost.
- Naive Bayes Classifier.
- Nearest Neighbor.
TOP 10 PYTHON LIBRARIES.
- Pandas
- Numpy
- Scikit-Learn.
- Keras.
- PyTorch.
- LightGBM.
- Matplotlib.
- Scipy.
- Theana.
- Tensorflow.
TOP 10 DATA SCIENCE ROLES.
- Data Scientist.
- Decision Maker.
- Analyst.
- ETL Engineer.
- Machine Learning Engineer.
- Data Engineer.
- Analytics Manager.
- Tableau Developer.
- Researcher.
- BI Analyst.
TECHIE'S SCRIBBLING 