Most crucial resources are to get into Data Science Field, how to start with data science ?
- Top 10 Machine Learning Algorithms 1. Linear Regression 2. Logistic Regression 3. Decision Trees 4. Random Forests 5. K Means Clustering 6. Support Vector Machine 7. Artificial Neural Network 8. Apriori Algorithm 9. Naïve Bayes Classifier 10. Nearest Neighbor - Top 10 Python Libraries 1. Pandas 2. Numpy 3. Scikit-Learn 4. Keras 5. PyTorch 6. LightGBM 7. Matplotlib 8. SciPy 9. Theano 10. TensorFlow - Top 10 Data Science Books 1. Introduction to Statistical Learning 2. Data science at the command line 3. Think stats 4. Python data science handbook 5. R for data science 6. Machine learning yearning 7. Ethics and data science 8. Deep learning 9. Rules for machine learning 10. Probabilistic Programming & Bayesian methods - Top 10 Data Science Resources Online 1. Coursera: Stanford & Johns Hopkins 3. EdX: Data Science Essentials 4. Udacity 5. Kaggle 6. Analytics Vidya 7. KDNuggets 8. Datacamp 9. Udemy 10. Khan Academy - Top 10 Data Science Roles 1. Data Scientist 2. Decision Maker 3. Analyst 4. ETL Engineer 5. Machine Learning Engineer 6. Data Engineer 7. Analytics Manager 8. Tableau Developer 9. Researcher 10. BI Analyst
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