TechPostsFromX on Nostr: A to Z of Data Science ❯ A ➟ Algorithms, Analytics, AI ❯ B ➟ Bayes' Theorem, ...
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
❯ 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