文件列表:

Project : Building A ChatBot/Project-Building a Chatbot/
Lec 0 - Introduction To The Course
Lec 1 - Overview Of Data Science And Its Importance
Lec 10 - Time And Date Manipulation Functions
Lec 11 - Pivot tables, Pivot charts & Power Query
Lec 12 - Introduction To Excel Macros & Vba For Automation
Lec 13 - Python Fundamentals (Variables, Data Types, Conditionals, Loop)-PART-01
Lec 13 - Python Fundamentals (Variables, Data Types, Conditionals, Loops) - Part-2
Lec 14 - Functions, Lambda Expressions, And Error Handling
Lec 15 - Data Manipulation And Analysis With Numpy
Lec 16 - Working With Data Using Pandas
Lec 17 - Principles Of Data Visualization
Lec 18 - Introduction To Matplotlib And Seaborn
Lec 19 - Creating Interactive Visualizations With Plotly
Lec 2 - Introduction To The Data Science Workflow
Lec 20 - Getting Started With Power BI
Lec 21 - Creating Dashboards And Reports
Lec 22 - Data Modeling And Dax Basics
Lec 23 - Advanced Statistical Measures And Distributions
Lec 24 - Correlation Concept
Lec 25 - Hypothesis Testing & Inferential Statistics
Lec 26 - Data Cleaning & Normalization
Lec 27 - Handling & Removing Outliers
Lec 28 - Feature Engineering & Selection
Lec 29 - Introduction to Machine Learning
Lec 3 - Key Skills And Tools In Data Science
Lec 30 - Supervised Learning (Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVMs)
Lec 31 - Unsupervised Learning (K-Means Clustering, Hierarchical Clustering, PCA)
Lec 32 - Introduction to Neural Networks & Deep Learning
Lec 4 - Anaconda Setup And Overview
Lec 5 - Google Colab Notebook Overview
Lec 6 - Version Control With Git
Lec 7 - Advanced Excel Introduction
Lec 8 - Advanced Formulas And Functions
Lec 9 - Data Cleaning And Preparation Techniques

# Python-DataScience-MachineLearning-Integrated-CipherSchools Course: Python, Data Science & Machine Learning Integrated - Hybrid

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