Basic Python
Data Visualization with Python
Basic Knowledge of Machine Learning Algorithms & Supervised learning Data
Basic Statistics on Dataset: Mean, Median, Mode, Standard Deviation, Percentile, Data Distribution, Normal Data Distribution, Scatter Plot, Data Scale
Data Engineering using Pandas with cross-validation by training/Test
Knowledge of data overfitting
Scikit-learn & TensorFlow Fundamentals
Algorithms: KNN, Decision Tree, Linear Regression, Polynomial Regression, Multiple Regression, Logistic Regression
Machine Learning to Deep Learning Guidelines
How to start ANN & CNN Guidelines
