Alternatives and similar repositories for learn_data_science:

Users that are interested in learn_data_science are comparing it to the libraries listed below

• KishManani / MSTL
  Notebook to accompany MSTL article
  ☆38Updated 2 years ago
• cran2367 / deep-learning-and-rare-event-prediction
  Deep Learning and Rare Event Prediction
  ☆47Updated 3 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• marcopeix / intermittent_time_series
  ☆13Updated last year
• mabalam / feature_selection
  ☆25Updated 2 years ago
• tvhahn / Manufacturing-Data-Science-with-Python
  Data science applied to problems in manufacturing (and some other ML stuff too).
  ☆11Updated 3 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• zackmcnulty / CSE_446-Machine_Learning
  Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision tre…
  ☆9Updated 5 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆24Updated 3 months ago
• stephenbeckr / time-series-class
  MATH/STAT 4540/5540 Introduction to Time Series, spring 2022
  ☆8Updated 2 years ago
• paulbrodersen / entropy_based_binning
  Entropy based binning of discrete variables.
  ☆34Updated 5 years ago
• namanUIUC / NonlinearComponentAnalysis
  Application of principal component analysis capturing non-linearity in the data using kernel approach
  ☆8Updated 6 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆74Updated last year
• kevinclee26 / sentiment_analysis_classification
  ☆18Updated 3 years ago
• tirthajyoti / Stats_data_science_ValleyML
  Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
  ☆10Updated 5 years ago
• SALib / SATut
  Tutorials for Sensitivity Analysis using SALib
  ☆33Updated 5 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 6 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• open-risk / transitionMatrix
  Statistical analysis and visualization of state transition phenomena
  ☆85Updated 3 months ago
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 3 years ago
• Idilismiguzel / data_analysis
  ☆14Updated 2 years ago
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆12Updated 3 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆94Updated 4 years ago
• elena-roff / price-modeling-rf
  Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…
  ☆32Updated 7 years ago
• oscar-defelice / DeepLearning-lectures
  🧑🏼‍🏫 Here is the material for a course of two-weeks I gave in a Master of Data Science and AI
  ☆15Updated last week
• ikatsov / tensor-house-data
  Datasets for the TensorHouse project
  ☆19Updated last year
• h3ik0th / Darts_TCN_RNN
  time series forecasting with TCN and RNN neural networks in Darts
  ☆13Updated 3 years ago