datacamp / datacamp_facebook_live_ny_resolutionLinks
In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym' and 'finance' to see how they vary over time.
☆44Updated 7 years ago
Alternatives and similar repositories for datacamp_facebook_live_ny_resolution
Users that are interested in datacamp_facebook_live_ny_resolution are comparing it to the libraries listed below
Sorting:
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Data Science for Good Projects☆50Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆21Updated 8 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- ☆26Updated 5 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- ☆39Updated 8 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded fro…☆45Updated 6 years ago
- ☆24Updated 2 years ago
- Animated Visualizations of Popular Machine Learning Algorithms☆37Updated 8 years ago
- In which I implement some applications of machine learning techniques.☆31Updated 9 years ago
- A tutorial to create python based prediction web app☆30Updated 5 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆39Updated 7 years ago
- Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare☆45Updated 8 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆113Updated 8 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 8 years ago
- Some work on Kaggle data for fun☆64Updated 8 years ago
- ☆15Updated 9 years ago
- Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…☆33Updated 8 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Work for Mastering Large Datasets with Python☆20Updated 2 years ago