A to Z of Data Science

❯ A ➟ Algorithms, Analytics, AI

❯ B ➟ Bayes' Theorem, BigData, Bias

❯ C ➟ Clustering, Classification, Cross Validation

❯ D ➟ Dataset, Dimensionality Reduction

❯ E ➟ EDA, Excel, Ensemble Learning

❯ F ➟ Feature Engineering, Forecasting

❯ G ➟ Gradient Descent

❯ H ➟ Hypothesis, Histogram

❯ I ➟ Imputation

❯ J ➟ Jupyter Notebook, Java

❯ K ➟ K-Means, Kernel, Kaggle

❯ L ➟ Logistic Regression, Linear Regression

❯ M ➟ Mathematics, Machine Learning

❯ N ➟ Normalization, NumPy

❯ O ➟ Outlier, Overfitting, Optimization

❯ P ➟ Python, PowerBI, PyTorch

❯ Q ➟ Quantile

❯ R ➟ Regression, Random Forest

❯ S ➟ SQL, scikit-learn, Supervised Learning

❯ T ➟ TensorFlow, Time Series Analysis

❯ U ➟ Unsupervised Learning, Underfitting

❯ V ➟ Variance, Visualization

❯ W ➟ Weighted Average, Wrangling

❯ X ➟ X-Axis, XML

❯ Y ➟ Yield Curve Analysis, Y-Axis

❯ Z ➟ Z-Score, Zero Padding

Source: x.com/swapnakpanda/status/1858720646827557203