Kodluyoruz & Carbon Consulting Data Science Bootcamp

Week 1

  • What is artificial intelligence? Which programming tools will we use?
  • The Uses of Numpy, Pandas, Sklearn, Seaborn, Matplotlib Libraries
    • HW1 - Python Functions Exercise

Week 2

  • Exploratory Data Analysis
  • Data Collection & Data Labeling
  • Supervised & Unsupervised Learning
    • HW2 - Scraping Wikipedia Infoboxes & Wikitables with Beautiful Soup

Week 3

  • Lineer ve Lojistik Regresyon
  • Decision Tree ve Random Forest
  • Titanic Project
    • HW3.1 - Harry Potter Movies Dataset EDA
    • HW3.2 - Linear Regression, Logistic Regression & Random Forest

Week 4

  • Clustering, KNN, DBScan
  • Dimensionality Reduction
  • Clustering Project
    • HW4.1 - PCA - Credit Risk Dataset
    • HW4.2 - K-Means - California Housing Dataset

Week 5

  • Introduction to Neural Networks, Loss, Activation, Optimizer
  • The Uses of Keras, Tensorflow, Pytorch Libraries
  • Classification and Regression with Keras

Week 6

  • What is RNN, LSTM?
  • What is Natural Language Processing? How Natural Language Processing is Used?
  • NLP Examples

Week 7

  • What is CNN?
  • What is Image Processing? How Image Processing is Used?
  • Examples of Image Processing Application