All Projects → kaishengteh → Data-Analyst-Nanodegree

kaishengteh / Data-Analyst-Nanodegree

Licence: other
Kai Sheng Teh - Udacity Data Analyst Nanodegree

Programming Languages

HTML
75241 projects
Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Data-Analyst-Nanodegree

Udacity-Data-Analyst-Nanodegree
Repository for the projects needed to complete the Data Analyst Nanodegree.
Stars: ✭ 31 (-26.19%)
Mutual labels:  udacity, numpy, pandas, data-analysis, data-wrangling, data-analyst-nanodegree
Data Analysis
主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (+238.1%)
Mutual labels:  numpy, sklearn, pandas, data-analysis
Data Science Notebook
📖 每一个伟大的思想和行动都有一个微不足道的开始
Stars: ✭ 196 (+366.67%)
Mutual labels:  numpy, sklearn, pandas, data-analysis
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+5130.95%)
Mutual labels:  statistics, numpy, pandas
Stats Maths With Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+807.14%)
Mutual labels:  statistics, numpy, pandas
Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+19730.95%)
Mutual labels:  statistics, pandas, data-analysis
whyqd
data wrangling simplicity, complete audit transparency, and at speed
Stars: ✭ 16 (-61.9%)
Mutual labels:  pandas, data-analysis, data-wrangling
Data-Wrangling-with-Python
Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
Stars: ✭ 90 (+114.29%)
Mutual labels:  numpy, pandas, data-wrangling
Algorithmic-Trading
I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Stars: ✭ 47 (+11.9%)
Mutual labels:  statistics, numpy, pandas
Data-Science-101
Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
Stars: ✭ 19 (-54.76%)
Mutual labels:  pandas, data-analysis, data-wrangling
Data-Science-Resources
A guide to getting started with Data Science and ML.
Stars: ✭ 17 (-59.52%)
Mutual labels:  numpy, pandas, data-analysis
pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along.
Stars: ✭ 161 (+283.33%)
Mutual labels:  pandas, data-analysis, data-wrangling
fairlens
Identify bias and measure fairness of your data
Stars: ✭ 51 (+21.43%)
Mutual labels:  statistics, pandas, data-analysis
Awkward 1.0
Manipulate JSON-like data with NumPy-like idioms.
Stars: ✭ 203 (+383.33%)
Mutual labels:  numpy, pandas, data-analysis
Sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+4307.14%)
Mutual labels:  statistics, pandas, data-analysis
Tensorflow Ml Nlp
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (+319.05%)
Mutual labels:  numpy, sklearn, pandas
Ml Cheatsheet
A constantly updated python machine learning cheatsheet
Stars: ✭ 136 (+223.81%)
Mutual labels:  numpy, sklearn, pandas
sklearn-predict
机器学习数据,预测趋势并画图
Stars: ✭ 16 (-61.9%)
Mutual labels:  numpy, sklearn, pandas
Datscan
DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
Stars: ✭ 13 (-69.05%)
Mutual labels:  numpy, pandas, data-analysis
ml-workflow-automation
Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (+4.76%)
Mutual labels:  numpy, sklearn, pandas

Data-Analyst-Nanodegree

Kai Sheng Teh

This repository contains projects for Udacity's Data Analyst Nanodegree.

Part 1: Analyze Bay Area Bike Share Project

Complete your first project analyzing bike rental data. It’s a great project to tackle during the first week in your Nanodegree to see if the program is a good fit for you!

Part 2: Descriptive Statistics

Learn to use descriptive statistics to describe properties of datasets and learn about how samples and populations are related.

Part 3: Intro to Data Analysis

Choose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.

Part 4: Data Wrangling

Choose a region of the world from www.openstreetmap.org and then use data wrangling techniques to audit and clean the data. You'll then use a database to query the cleaned data.

Part 5: Exploratory Data Analysis

Use R and apply exploratory data analysis techniques to explore a selected data set for distributions, outliers, and relationships.

Part 6: Inferential Statistics

Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology.

Part 7: Intro to Machine Learning

Play detective and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.

Part 8: Data Visualization in Tableau

Understand the importance of data visualization. Know how different data types are encoded in visualizations. Select the most effective chart or graph based on the data being displayed.

udacity Data Analyst Nanodegree

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].