Important definitions and terminologies used in Data Science with Python
A
- Accuracy Score in Data Science with Python
- Activation Function in Data Science with Python
- Algorithm in Data Science with Python
- Algorithms in Data Science with Python
- Anaconda in Data Science with Python
- Apache Spark in Data Science with Python
- API (Application Programming Interface) in Data Science with Python
- API in Data Science with Python
- Artificial Intelligence (AI) in Data Science with Python
- Artificial Neural Networks (ANN) in Data Science with Python
- Association Rules in Data Science with Python
- AUC (Area Under the Curve) in Data Science with Python
- Autoencoder in Data Science with Python
B
- Backpropagation (BP) in Data Science with Python
- Bagging in Data Science with Python
- Batch Normalization in Data Science with Python
- Bayes’ Theorem in Data Science with Python
- Bayesian Network in Data Science with Python
- Bayesian Networks in Data Science with Python
- Bias in Data Science with Python
- Bias-Variance Tradeoff in Data Science with Python
- Big Data in Data Science with Python
- Binomial Distribution in Data Science with Python
- Bootstrap Sampling in Data Science with Python
- Business Analyst in Data Science with Python
- Business Analytics (BA) in Data Science with Python
- Business Intelligence (BI) in Data Science with Python
C
- Categorical Variable Classification in Data Science with Python
- Categorical Variable in Data Science with Python
- Classification in Data Science with Python
- Clustering in Data Science with Python
- Computer Science in Data Science with Python
- Computer Vision in Data Science with Python
- Confusion Matrix in Data Science with Python
- Continuous Variable in Data Science with Python
- Convolutional Neural Networks (CNN) in Data Science with Python
- Correlation in Data Science with Python
- Cost Function in Data Science with Python
- Covariance in Data Science with Python
- Cross-Entropy Loss in Data Science with Python
- Cross-Validation (not validated) in Data Science with Python
- Cross-Validation in Data Science with Python
D
- Dashboard in Data Science with Python
- Data Analysis (DA) in Data Science with Python
- Data Analyst in Data Science with Python
- Data Augmentation in Data Science with Python
- Data Cleaning in Data Science with Python
- Data Consumer in Data Science with Python
- Data Engineer in Data Science with Python
- Data Engineering (DE) in Data Science with Python
- Data Enrichment in Data Science with Python
- Data Exploration in Data Science with Python
- Data Governance in Data Science with Python
- Data Imputation in Data Science with Python
- Data Journalism in Data Science with Python
- Data Lake in Data Science with Python
- Data Literacy in Data Science with Python
- Data Mining in Data Science with Python
- Data Modeling in Data Science with Python
- Data Pipeline in Data Science with Python
- Data Preprocessing in Data Science with Python
- Data Science (DS) in Data Science with Python
- Data Scientist in Data Science with Python
- Data Structure in Data Science with Python
- Data Visualization in Data Science with Python
- Data Warehouse in Data Science with Python
- Data Wrangling in Data Science with Python
- Database in Data Science with Python
- Database Management System (DBMS) in Data Science with Python
- Dataframe in Data Science with Python
- Dataset in Data Science with Python
- Decision Boundary in Data Science with Python
- Decision Tree in Data Science with Python
- Decision Trees in Data Science with Python
- Deep Learning (DL) in Data Science with Python
- Deep Learning in Data Science with Python
- Dimensionality Reduction in Data Science with Python
E
- Early Stopping in Data Science with Python
- EDA in Data Science with Python
- ELT in Data Science with Python
- Ensemble Learning in Data Science with Python
- Ensembling in Data Science with Python
- ETL in Data Science with Python
- Evaluation Metrics in Data Science with Python
- Exploratory Data Analysis (EDA) in Data Science with Python
F
- F-Score in Data Science with Python
- False Negative (FN, Type II Error) in Data Science with Python
- False Positive (FP, Type I Error) in Data Science with Python
- Feature Engineering in Data Science with Python
- Feature Extraction in Data Science with Python
- Feature Importance in Data Science with Python
- Feature in Data Science with Python
- Feature Selection in Data Science with Python
G
- Generative Adversarial Networks (GANs) in Data Science with Python
- Gradient Boosting in Data Science with Python
- Gradient Descent in Data Science with Python
- Grid Search in Data Science with Python
- Grid SearchCV in Data Science with Python
H
- Hadoop in Data Science with Python
- Hyperparameter in Data Science with Python
- Hyperparameter Optimization in Data Science with Python
- Hyperparameter Tuning in Data Science with Python
- Hypothesis in Data Science with Python
- Hypothesis Testing in Data Science with Python
I
- Imbalanced Data in Data Science with Python
- Imputation in Data Science with Python
K
- k-fold Cross-Validation in Data Science with Python
- K-means in Data Science with Python
- k-Nearest Neighbors (k-NN) in Data Science with Python
- K-Nearest Neighbors (KNN) in Data Science with Python
L
- Linear Algebra in Data Science with Python
- Linear Regression in Data Science with Python
- Logistic Regression in Data Science with Python
- Loss Function in Data Science with Python
M
- Machine Learning (ML) in Data Science with Python
- Machine Learning in Data Science with Python
- Matplotlib in Data Science with Python
- Mean Absolute Error (MAE) in Data Science with Python
- Mean in Data Science with Python
- Mean Squared Error (MSE) in Data Science with Python
- Median in Data Science with Python
- Mode in Data Science with Python
- Model Evaluation in Data Science with Python
- Model Tuning in Data Science with Python
- Multivariate Modeling in Data Science with Python
N
- Naive Bayes in Data Science with Python
- Natural Language Processing (NLP) in Data Science with Python
- Neural Architecture Search in Data Science with Python
- Neural Networks in Data Science with Python
- Normalization in Data Science with Python
- NoSQL in Data Science with Python
- Null Hypothesis in Data Science with Python
- NumPy in Data Science with Python
O
- Open Source in Data Science with Python
- Ordinal Variable in Data Science with Python
- Outlier in Data Science with Python
- Overfitting in Data Science with Python
P
- Pandas in Data Science with Python
- Parameter in Data Science with Python
- Precision and Recall in Data Science with Python
- Precision in Data Science with Python
- Predictive Analytics in Data Science with Python
- Principal Component Analysis (PCA) in Data Science with Python
- Python Data Science Libraries in Data Science with Python
- Python in Data Science with Python
R
- R-Squared (R2) in Data Science with Python
- Random Forest in Data Science with Python
- Random SearchCV in Data Science with Python
- Recall in Data Science with Python
- Recommender Systems in Data Science with Python
- Regression in Data Science with Python
- Regular Expressions in Data Science with Python
- Regularization in Data Science with Python
- Reinforcement Learning (RL) in Data Science with Python
- Reinforcement Learning in Data Science with Python
- Ridge Regression in Data Science with Python
- Root Mean Squared Error (RMSE) in Data Science with Python
S
- Sampling Error in Data Science with Python
- Sampling Techniques in Data Science with Python
- Scikit-learn in Data Science with Python
- Scipy in Data Science with Python
- Sentiment Analysis in Data Science with Python
- Sentiment Classification in Data Science with Python
- Singular Value Decomposition (SVD) in Data Science with Python
- SQL (Structured Query Language) in Data Science with Python
- SQL in Data Science with Python
- Stacking in Data Science with Python
- Standard Deviation in Data Science with Python
- Stochastic Gradient Descent (SGD) in Data Science with Python
- Supervised Learning in Data Science with Python
- Support Vector Machines (SVM) in Data Science with Python
- Support Vector Regression (SVR) in Data Science with Python
- SVM in Data Science with Python
- Synthetic Data in Data Science with Python
T
- Target Variable in Data Science with Python
- TensorFlow in Data Science with Python
- Test Set in Data Science with Python
- Text Mining in Data Science with Python
- Time Series Analysis in Data Science with Python
- Time Series Forecasting in Data Science with Python
- Time Series in Data Science with Python
- Training Set in Data Science with Python
- Transfer Learning in Data Science with Python
- True Negative (TN) in Data Science with Python
- True Positive (TP) in Data Science with Python
U
- Underfitting in Data Science with Python
- Univariate Modeling in Data Science with Python
- Unstructured Data in Data Science with Python
- Unsupervised Learning in Data Science with Python
V
- Variance in Data Science with Python
W
- Web Scraping in Data Science with Python
- Word Embeddings in Data Science with Python
X
- XGBoost in Data Science with Python
Z
- Z-Score in Data Science with Python
- Zero-Inflated Models in Data Science with Python