Data Science Boot Camp
Ön Koşul
Temel İstatistik ve Veri Bilimi konsept bilgisi olması yeterlidir.
Eğitimin Hedefleri
Eğitim sonrasında katılımcıların Python, Derin Öğrenme ve Veri Görselleştirme süreçlerine hakim olmaları hedeflenmektedir.
Eğitimin İçeriği
1. Gün
Python – Advanced Python Tools
Part 1 : Advanced Statistical Methods in Python
Advanced Statistical Methods – Linear regression with StatsModels
Advanced Statistical Methods – Multiple Linear Regression with StatsModels
Advanced Statistical Methods – Linear Regression with sklearn
Advanced Statistical Methods – Practical Example: Linear Regression
Advanced Statistical Methods – Logistic Regression
Advanced Statistical Methods – Cluster Analysis
Advanced Statistical Methods – K-Means Clustering
Advanced Statistical Methods – Other Types of Clustering
2. Gün
Part 2 : Deep Learning
Deep Learning – TensorFlow 2.0: Introduction
Deep Learning – Digging Deeper into NNs: Introducing Deep Neural Networks
Deep Learning – Overfitting
Deep Learning – Initialization
Deep Learning – Digging into Gradient Descent and Learning Rate Schedules
Deep Learning – Preprocessing
Deep Learning – Classifying on the MNIST Dataset
Deep Learning – Business Case Example
Deep Learning – Conclusion
Part 3 : Software Integration and data visualization
Kayıt
Data Science Boot Camp eğitim programı kaydı için aşağıdaki formu doldurunuz.