Dataquest

My solutions to problems on Dataquest

Python Programming Beginner

• Python Basics: Files and Loops, Booleans and If Statements
• Challenge: Files, Loops, and Conditional Logic
• List Operations, Dictionaries, Introduction to Functions
• Debugging Errors
• Guided Project: Using Jupyter notebook
• Guided Project: Explore U.S. Births

Python Programming Intermediate

• Modules and Classes
• Error Handling
• List Comprehensions
• Challenge: Modules, Classes, Error Handling, and List Comprehensions
• Variable Scopes, Regular Expressions
• Dates in Python
• Guided Project: Exploring Gun Deaths in the US

Data Analysis and Visualisation

• NumPy, Pandas
• Working with Missing Data
• Guided Project: Analyzing Thanksgiving Dinner
• Line, Bar plots, Scatter plots, Histograms and Box plots
• Guided Project: Visualizing Earnings Based On College Majors
• Storytelling through data visualisation
• Guided Project: Visualizing The Gender Gap In College Degrees
• Conditional plots
• Visualising geographic data
• Data Cleanning: Combining, Analyzing and Visualising
• Guided Project: Analysing NYC High School Data
• Guided Project: Star Wars Survey

Command Line

• Command Line Basics
• Command Line Python Scripting
• Working with Jupyter Console
• Piping and Redirecting output
• Data Cleaning and Exploration Using Csvkit
• Git and Version Control

Working with Data Sources

• SQL, Summary Statistics, Querying SQLite from Python
• Joins in SQL
• Building Complex Queries
• Table Relations and Normalization
• Guided Project: Designing and Creating a Database
• Using PostgreSQL
• Indexing
• APIs and Web Scraping

Probability and Statistics

• Sampling
• Visualising and Comparing Frequency Distributions
• Guided Project: Ivestigating Fandango Movie Ratings
• Averages and Variability
• Z-Scores
• Guided Project: Finding best Markets to Advertise in
• Probability
• Significance Testing
• Chi-squared tests
• Guided Project: Winning Jeopardy

Machine Learning

• KNN, Model Performance
• Hyperparameter Optimization
• Cross Validation
• Guided Project: Predicting Car Prices
• Calculus for Machine Learning: Linear and Non-linear functions, Limits
• Linear Algebra for ML
• Linear Regression for ML, Feature Selection, Gradient Descent
• Guided Project: Predicting House Prices
• Logistic Regression
• K-Means clustering
• Introduction to neural networks
• Guided Project: Predicting the stock Market
• Decision Trees
• Guided Project: Predicting bike rentals
• Machine Learning Project

Advanced Python and Computer Science

• Memory and Unicode
• Algorithms
• Binary Search
• Data Structures
• Recursion and Advanced Data Structures
• Guided Project: Investigating Airplane Accidents
• Python Programming: Lambda Functions, Parellel processing

Advanced Topics in Data Science

• Kaggle Fundamentals
• Naive Bayes for Sentiment Analysis
• K-Nearest Neighbors
• Introduction to Natural Language Processing

Spark and Map Reduce

• Introduction to spark, spark dataframes and spark sql
• Guided Project: Transforming Hamlet Data into a dataset