Mısra Turp
Here is where we learn! This is a space to take it slow and understand the most important data science and machine learning concepts, hands-on where applicable.
My aim is to break down the complex topics into understandable chunks and teach it in a way that does not overwhelm the viewers. We grow together as a community of learners. Feel free to ask questions, request new videos and leave comments with your feedback.
See you in there!
Making Your Project Presentable: Last Touches for an Impressive Portfolio
Bonus lesson: Turning a Regression Problem into a Classification Problem
Is your model actually that good? Validating Machine Learning Models
Improve Machine Learning Model Performance with Tuning
Step-by-Step Preparing and Training a Machine Learning Model
Разработка функций: интегрируйте новый источник данных в свой набор данных
Feature Engineering: Create new features using existing data
The Basics of Evaluating Machine Learning Projects
How to Train a Benchmark Model for your Machine Learning Project
Problem Definition and Data Preparation for a Real-Life Data Science Project
Extract Hour, Day, Month Info from Pandas DateTime
Fixing Incorrect Column Types in Pandas to Prepare Data for ML
Data Cleaning after Identifying Data Problems in Pandas
Data Exploration: Identifying Data Issues and Their Potential Causes
Using Data Visualization to Identify Data Problems
Как работает сбор данных в реальном проекте по анализу данных
Creating a GitHub Repository for a Data Science Project
Введение в Jupyter Notebooks: изучение основных функций
Data Science Setup: Git, Anaconda & Jupyter
Hands-on Data Science course: Let's build a project together from scratch!
Key Concepts and Techniques for Natural Language Processing
Чем отличаются обучение и настройка?
Python vs. R comparison (by a die-hard Python fan)
Data Visualization Libraries For Python
Почему мы разделяем данные на обучающие, тестовые и проверочные наборы?
How to fix missing values in your data
Краткое объяснение: прямое кодирование
How to Implement CNNs in Keras
CNN продолжает расчеты
Basics of Convolutional Neural Networks