khanhnamle1994 / world-cup-2018
An exploratory data analysis and data visualization project for World Cup 2018
☆37Updated 6 years ago
Alternatives and similar repositories for world-cup-2018:
Users that are interested in world-cup-2018 are comparing it to the libraries listed below
- ☆21Updated 6 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆150Updated 7 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 8 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- Competition repository☆21Updated 5 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆42Updated 2 months ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Codes related to Knocktober 2016☆23Updated 8 years ago
- ☆26Updated 5 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 7 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 8 years ago
- Machine Learning Implementations in Python☆63Updated 3 years ago
- DataCamp Projects☆17Updated 5 years ago
- 6th place solution for Recruit-Restaurant-Visitor-Forecasting☆17Updated 7 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Applied Data Science with Python Specialization: Course 4 (University of Michigan)☆28Updated 7 years ago
- A list of take home challenges for data science interviews I've compiled☆17Updated 6 years ago
- Workshop and lesson on Exploratory Data Analysis☆12Updated 3 weeks ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Customer churn analysis using Telco dataset☆22Updated 5 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…☆11Updated 7 years ago
- Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost☆62Updated 2 years ago
- Code for Kaggle's Default Loan Prediction - Imperial College London challenge.☆29Updated 11 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago
- Teaching materials for pandas and scikit-learn☆18Updated 8 years ago
- Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practic…☆52Updated 7 years ago