marcopeix / ISL-linear-regression

Related projects ⓘ

Alternatives and complementary repositories for ISL-linear-regression

• marcopeix / AppliedTimeSeriesAnalysisWithPython
  ☆34Updated 3 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆55Updated 2 years ago
• jeremyjordan / customer-segmentation
  An example of clustering applied to finding customer segments.
  ☆19Updated 7 years ago
• PacktPublishing / Python-Machine-Learning-Cookbook-Second-Edition
  ☆62Updated 3 years ago
• poornagurram / TimeSeriesAnalysis_ODSC_2019
  Resources for Data Science Kick Starter Workshop at ODSC India 2019
  ☆20Updated 4 years ago
• quantsense / TimeSeries_Notebooks_Collections
  Jupyter Notebooks Collection for Learning Time Series Models
  ☆67Updated 5 years ago
• yanxiali / Predicting-Default-Clients-of-Lending-Club-Loans
  ☆29Updated 6 years ago
• marcotav / supervised-machine-learning
  This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websit…
  ☆43Updated 4 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆25Updated 3 years ago
• RegaipKURT / Credit-Risk-Modelling
  ☆22Updated 4 years ago
• PacktPublishing / Hands-On-Ensemble-Learning-with-Python
  Hands-On Ensemble Learning with Python, published by packt publishing
  ☆54Updated last year
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 3 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆61Updated 6 years ago
• marcotav / deep-learning
  Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a paint…
  ☆50Updated 5 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 5 years ago
• evansdoe / online_retail
  The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
  ☆19Updated 3 years ago
• PacktPublishing / Hands-on-Python-for-Finance-V
  Hands-on Python for Finance [Video], Published by Packt
  ☆32Updated 3 years ago
• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 7 years ago
• rupskygill / python-ML-book-Raschka
  Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"
  ☆26Updated 8 years ago
• seifip / starbucks-customer-segmentation
  Udacity Data Science Nanodegree Capstone
  ☆34Updated 4 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• bhattbhavesh91 / time_series_notebooks
  My Experiments with Time Series
  ☆25Updated 3 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆108Updated 7 years ago
• PacktPublishing / Ensemble-Machine-Learning-Cookbook
  Ensemble Machine Learning Cookbook, published by Packt
  ☆57Updated last year
• PacktPublishing / Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
  Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
  ☆44Updated last year
• tirthajyoti / Finance-with-Python
  Financial data analytics with Python
  ☆72Updated 4 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆41Updated last year
• MaartenGr / Projects
  Data Science Portfolio
  ☆70Updated 3 years ago
• pierpaolo28 / Kaggle-Challenges
  Selection of some interesting Kaggle Kernels
  ☆50Updated 4 years ago