topics and details notes from data science bootcamp in summary
- Week1: Numpy, Pandas, Jupyter Notebook, Ipython, Visualization with matplotlib, seaborn,plotly Web scraping with BeautifulSoup, Selenium and Requests
- Week2: Relational Databases (MySQL), SQLAlchemy (ORM)
- Week3: Git, NoSQL, Graph database(Neo4j) with cypher language Statistics & Probabilities
- Week4: Statistics & Probabilities, Microsoft Power BI
- Week5: Power BI Dashboarding, Linear Algebra & Calculus
- Week6: Machine Learning (Regression)
- Project1: (Coinmarketcap) , Scraping Coins Data with Selenium, Reading Data with SQLAlchemy, Analysis Statistics and Probability, Creating Power BI Dashboard
- Week7: Machine Learning (Classification), Calculus
- Week8: Machine Learning (Decision Trees, Ensemble Learning)
- Week9: Machine Learning (Dimensionality Reduction, Rule-based ML, Clustering)
- Week10: Shallow Neural Network, Deep Learning
- Project2: (Cryptocurrency data analysis with Machine Learning) Clustering & Prediction
- Week11: Deep Learning (Convolutional)
- Week12: Deep Learning (Natural Language Processing), Deep Learning (Sequential Model)
- Project3: (Amazon Products Image Classification & Customer Reviews Sentiment Analysis)