Learnt about the fundamentals of REST APIs
- Constraints of a REST API
- What makes a request (Endpoints, Paths, Parameters, Methods)
- REST vs SOAP
Learnt about the other topics of REST APIs and interacted with GitHub's REST API with requests (Python)
- What makes a request (Headers, Data/Body)
- Authentication
- HTTP Status Codes
- API Versions
- Interaction with REST APIs
- Interacting with GitHub's REST API to perform specific tasks
Learnt about Regular Expressions
- What is RegEx
- How can I run RegEx?
- Literal Searches
- All characters used for Matching
- Examples
- Nuances
- Sub-Task below
Day 4 and 5 : June 3rd and 4th, 2020
- What is Statistics
- Classifying Statistics?
- Central Tendency
- Statistical Terms
- Types of Measurement
- Dispersion
- Graphical Visualizations
- Compared Methods of GitHub Repo Extraction
- Downloaded Source Code of GitHub page, and tried to parse it useing RegEx.
- Implementing sorting techniques on repo information extracted by sorted w.r.t. Stargazer count.
- Worked with Command-Line, and connected code to the Command Line.
- What is a Time Series
- Examples of Time Series?
- Time Series Plots
- Patterns within a Time Series
- How to Plot a Time Series
- When not to use Time Series.
- Stationarity
- Checking Stationary (Rolling Mean, Augmented Dickey Fuller)
- ARIMA an its parameters
Pandas Operations on Time Series Data
- Extracting Central-Tendency Related Data
- Custom Dataset slicing according to row and column values
- Extracted Outliers from Dataset using Z-Score Calculation and Quantile Consideration
- Plotted data in Excel and MatPlotLib
- Implemented Rolling Window for plotting maximum across 6-month windows.
About
A repository encompassing my Internship related work at Agilitix AI. A company driven by data.
https://agilitix.ai/
MIT License
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Language:Jupyter Notebook 88.3%Language:Python 11.7%