susanli2016 / Practical-Data-Science-Specialization
Coursera Course
☆13Updated 3 years ago
Alternatives and similar repositories for Practical-Data-Science-Specialization:
Users that are interested in Practical-Data-Science-Specialization are comparing it to the libraries listed below
- Book Projects☆24Updated 4 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- ☆26Updated 5 years ago
- ☆18Updated 4 years ago
- The repository for the course in Udemy☆16Updated 5 years ago
- 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
- Building simple ML apps with Streamlit☆24Updated 4 years ago
- Data Science Study Notes + Projects☆21Updated 2 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Customer-base segmentation over e-commerce sales data☆26Updated 5 years ago
- EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series A…☆20Updated 2 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆41Updated 4 years ago
- Iowa House Prices Kaggle (top 5%)☆13Updated 10 months ago
- Course Material - Data Science Program☆14Updated last year
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Awesome list and projects of Time Series☆28Updated last year
- Fraud Detection in Python, DataCamp course☆12Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 3 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆32Updated 3 years ago
- data science interview questions company wise which include the data analyst , junior data scientist , machine learning engineer etc. pos…☆15Updated 3 years ago
- Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"☆10Updated 5 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆44Updated 4 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…☆43Updated 5 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- A small repository explaining how you can validate your linear regression model based on assumptions☆13Updated 3 years ago
- ☆14Updated 7 years ago
- ☆13Updated 4 years ago
- ☆17Updated 5 years ago