Projects I made during the Python for Data Science and Machine Learning Bootcamp Udemy course (link here).
With my works I mainly cover the following topics:
- EDAs (Exploratory Data Analyses)
- Machine Learning
- Linear Regression
- Logistic Regression
- K Nearest Neighbors
- Decision Trees and Random Forests
- Support Vector Machines
- K Means Clustering
- Natural Language Processing
- Neural Nets and Deep Learning
In addiction, in the course other important subjects are covered:
- Principal Component Analysis (PCA)
- Recommender Systems
- Big Data and Spark