mstftmk/k132-data-science-bootcamp

Kodluyoruz & Carbon Consulting Data Science Bootcamp

In this repo, there are projects and homework that is given by the instructors. This course is provided by "Kodluyoruz" and "Carbon Consulting".

WEEK 1

• Meeting and Syllabus check.
• What is AI?
• Numpy, Pandas, Sklearn, Seaborn, Matplotlib libraries

WEEK 2

• Exploratory Data Analysis
• Data collection, labeling and save (Web Scraping)
• Supervised, Unsupervised Training Methods

WEEK 3

• Linear and Logistic Regression
• Decision Tree and Random Forest
• Titanic Project

WEEK 4

• Clustering, KNN, DBScan
• Dimensionality Reduction
• Clustering Project

WEEK 5

• Introduction to Neural Networks, Loss, Activation and Optimizer
• Keras, TensorFlow, PyTorch libraries
• Classification and Regression with Keras

WEEK 6

• RNN, LSTM
• Introduction to NLP
• NLP Project
  • Bonus: Docker

WEEK 7

• CNN
• Image Processing
• Image Processing Project

Requirements

import Pandas
import Numpy
import Seaborn
import Matplotlib
import Sklearn
import statsmodel
import BeautifulSoup
import request
import cv2
import numpy as np
from math import ceil
from scipy.misc import face

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT