├── LICENSE ├── README.md ├── TR Version ├── 1. Gün.pptx ├── 2. Gün.pptx ├── 3. Gün.pptx ├── Day-1.ipynb ├── Day-2.ipynb ├── Day-3.ipynb ├── Müfredat.docx └── datasets │ ├── Melbourne_housing.csv │ └── airbnb_nyc_final.csv └── assets ├── 1.png ├── 2.png └── logo.png /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2021 Global AI Hub 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
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6 | 7 | # 🎓 Data Analysis and Model Training Course by [Global AI Hub](https://globalaihub.com/community) 8 | 9 | # Syllabus: 10 | 11 | ### Day 1 12 | - What is `Data`? 13 | - Multimedia 14 | - Structured and Unstructured Data 15 | - Data Types 16 | 17 | - Data Visualization 18 | - What is Visualization? 19 | - Tufte's 6 Principle 20 | - Visualization Types 21 | - Line Plot 22 | - Scatter Plot 23 | - Bar Plot 24 | - Histogram 25 | - Pie Charts 26 | - Heatmap 27 | - Box Plot 28 | - Kartil Nedir? Nasıl Hesaplanır? 29 | - Joint Plot 30 | - KDE(Kernel Density Estimate) 31 | 32 | - Statistics 33 | - Descriptive Statistics Concepts 34 | - The Concept of Skewness 35 | - Correlation and Correlation Matrix 36 | - The Simpsons Paradox 37 | - Anscombe Quartet 38 | - Data Distribution and Hypothesis Testing 39 | 40 | - Data Distribution 41 | - Data and Distribution 42 | - Gaussian(Normal) Distribution 43 | - t-Distribution 44 | - Degrees of Freedom 45 | - Bernoulli's Distribution 46 | - Exponential Distribution 47 | 48 | - Application 49 | - Pandas Revision 50 | - Introduction to Data Preprocessing with Pandas 51 | 52 | ### Day 2 53 | - Hypothesis Tests 54 | - Basic Hypothesis testing 55 | - P value 56 | - T test 57 | - Z test 58 | - Chi-square (Chi-Square) Test 59 | - Errors in Hypothesis Testing 60 | 61 | - Data Cleaning 62 | - The 68-95-99.7 Rule and 3 Sigma 63 | - Outlier, Missing and Duplicate Data and their Detection 64 | - Z-Score 65 | - Handling missing values 66 | - Null vs NaN 67 | - Pandas Functions for missing values 68 | - Dimensionality Reduction 69 | - PCA (Principal Component Analysis) 70 | - Collinearity (Multiple Linear Connection 71 | 72 | - Data Transformation 73 | - Data Conversion Techniques 74 | - round 75 | - Scaling 76 | - Label Encoding 77 | - One Hot Encoding 78 | - Stack 79 | - melt 80 | - Shorts 81 | - Feature Engineering 82 | 83 | - Data Augmentation 84 | - Aggregation Functions 85 | 86 | - Application 87 | - Data Visualization with Seaborn 88 | - Data Preprocessing with Pandas 89 | 90 | 91 | ### Day 3 92 | - ML Review 93 | - What is Machine Learning? 94 | - Supervised Learning 95 | - Unsupervised Learning 96 | - Errors That May Be Encountered in Model Training 97 | - Tools Used in Data Analysis and Machine Learning 98 | - End-to-End Machine Learning Project Steps 99 | 100 | - Application 101 | - Training An End-to-End ML Model with a Real Dataset 102 | 103 | # Certification 104 | The course completion is certified. 105 | -------------------------------------------------------------------------------- /TR Version/1. Gün.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/TR Version/1. Gün.pptx -------------------------------------------------------------------------------- /TR Version/2. Gün.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/TR Version/2. Gün.pptx -------------------------------------------------------------------------------- /TR Version/3. Gün.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/TR Version/3. Gün.pptx -------------------------------------------------------------------------------- /TR Version/Müfredat.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/TR Version/Müfredat.docx -------------------------------------------------------------------------------- /assets/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/assets/1.png -------------------------------------------------------------------------------- /assets/2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/assets/2.png -------------------------------------------------------------------------------- /assets/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gaih/data-analysis/450cd0b2888a0e6285d46f0cbae40bff9754e3e2/assets/logo.png --------------------------------------------------------------------------------