Merge branch 'main' of https://github.com/AkashKobal/Applied-Data-Sci…

…ence

.github/workflows/python-app.yml

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+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python application
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.10"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

LICENSE

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+MIT License
+
+Copyright (c) 2023 AKASH KOBAL
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,16 +1,32 @@
-# Applied-Data-Science
+# Data-Science
+1) Python
+2) Jupyter Notebook
+3) Numpy
+4) Pandas
+5) Matplotlib for data visualization
+6)  Machine Learning using sklearn
+7) Deep learning using tensorflow 2.0
+
 <h3>Data Science Project</h3>
+
 1. Big Mart Sales Prediction<br>
 2. Credit Card Fraud Detection<br>
 3. Mashroom Classification<br>
 4. Iris Prediction<br>
 5. Heart Disease Prediction<br>
 6. Stock Price Prediction<br>
 
-<h3>Tutorial (Code)</h3>
+<h3> Machine Learning</h3>
 1. Linear Regression Single Variable<br>
 2. Linear Regression Multiple Variable<br>
 3. Gradient Decent and Cost Function<br>
 4. Save Model Using Joblib and Pickle<br>
 5. Dummy Variable and One Hot Encoding<br>
-6. Training and Testing Data<br>
+6. Training and Testing Data<br>
+7. Logistic Regression (Binary Classification)<br>
+8. Logistic Regression (Multiclass Classification)<br>
+9. Decision Tree<br>
+10. Support Vector Machine (SVM)<br>
+
+<h3> Deep Learning</h3><br>
+1. [Potato Disease Classification](https://github.com/AkashKobal/potato-disease-classification.git)