Update README.md

Author: Sowmik23

README.md

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-# ML_with_Python
-This course was offered by IBM in coursera and it's conitains final week's assignment(week-06).
+# Machine Learning with Python
+This course is offered by IBM in coursera and this repo conitains final week's assignment(week-06) with lecture notes.
+
+- Course: https://www.coursera.org/learn/machine-learning-with-python
+- Offered by: https://www.ibm.com/
+- Instructor: https://www.coursera.org/instructor/saeed
+- My certificate: https://www.coursera.org/account/accomplishments/records/DAS5ACHKZE3J
+
+## Week 01:
+##### Overview/Topics: Introduction to Machine Learning
+* Python for machine learning
+* Supervised vs Unsupervised learning
+
+##### Programming Assignments:
+ - [Week 01: N/A]
+ 
+
+## Week 02:
+##### Overview/Topics: Regression
+* Simple linear regression
+* Multiple linear regression
+* Polynomial regression
+* Non-linear regression
+
+##### Programming Assignments:
+   - [Week 02: ML0101EN-Reg-Simple-Linear-Regression-Co2-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week02_Regression(SimpleLinear_MultipleLinear_NonLinear)/ML0101EN-Reg-Simple-Linear-Regression-Co2-py-v1.ipynb)
+   - [Week 02: ML0101EN-Reg-Mulitple-Linear-Regression-Co2-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week02_Regression(SimpleLinear_MultipleLinear_NonLinear)/ML0101EN-Reg-Mulitple-Linear-Regression-Co2-py-v1.ipynb)
+   - [Week 02: ML0101EN-Reg-Polynomial-Regression-Co2-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week02_Regression(SimpleLinear_MultipleLinear_NonLinear)/ML0101EN-Reg-Polynomial-Regression-Co2-py-v1.ipynb)
+   - [Week 02: ML0101EN-Reg-NoneLinearRegression-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week02_Regression(SimpleLinear_MultipleLinear_NonLinear)/ML0101EN-Reg-NoneLinearRegression-py-v1.ipynb)
+
+## Week 03:
+##### Overview/Topics: Classification
+* K-Nearest Neighbours
+* Decision Trees
+* Logistic regression
+* Support Vector Machine
+
+##### Programming Assignments:
+   - [Week 03: ML0101EN-Clas-K-Nearest-neighbors-CustCat-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week03_Classification(KNN_DecisionTree_LogisticRegression_SVM)/ML0101EN-Clas-K-Nearest-neighbors-CustCat-py-v1.ipynb)
+   - [Week 03: ML0101EN-Clas-Decision-Trees-drug-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week03_Classification(KNN_DecisionTree_LogisticRegression_SVM)/ML0101EN-Clas-Decision-Trees-drug-py-v1.ipynb)
+   - [Week 03: ML0101EN-Clas-Logistic-Reg-churn-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week03_Classification(KNN_DecisionTree_LogisticRegression_SVM)/ML0101EN-Clas-Logistic-Reg-churn-py-v1.ipynb)
+   - [Week 03: ML0101EN-Clas-SVM-cancer-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week03_Classification(KNN_DecisionTree_LogisticRegression_SVM)/ML0101EN-Clas-SVM-cancer-py-v1.ipynb)
+
+## Week 04:
+##### Overview/Topics: Clustering
+* K-Means Clustering
+* Hierarchical clustering
+* Density based clustering: DBSCAN
+
+##### Programming Assignments:
+   - [Week 04: ML0101EN-Clus-K-Means-Customer-Seg-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week04_Clustering(K-Means_Agglomerative_DBSCAN)/ML0101EN-Clus-K-Means-Customer-Seg-py-v1.ipynb)
+   - [Week 04: ML0101EN-Clus-Hierarchical-Cars-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week04_Clustering(K-Means_Agglomerative_DBSCAN)/ML0101EN-Clus-Hierarchical-Cars-py-v1.ipynb)
+   - [Week 04: ML0101EN-Clus-DBSCN-weather-py-v1](https://github.com/Sowmik23/ML_with_Python/blob/master/Week04_Clustering(K-Means_Agglomerative_DBSCAN)/ML0101EN-Clus-DBSCN-weather-py-v1.ipynb)
+   
+## Week 05:
+##### Overview/Topics: Recommender Systems
+* Content based recommender systems
+* Collaborative filtering on movies
+
+##### Programming Assignments:
+   - [Week 05: Content based recommender systems](https://github.com/Sowmik23/ML_with_Python/blob/master/Week05_RecommenderSystems(ContentBased_CollaborativeFiltering)/ML0101EN-RecSys-Content-Based-movies-py-v1.ipynb)
+   - [Week 05: Collaborative filtering on moives](https://github.com/Sowmik23/ML_with_Python/blob/master/Week05_RecommenderSystems(ContentBased_CollaborativeFiltering)/ML0101EN-RecSys-Collaborative-Filtering-movies-py-v1.ipynb)
+   
+## Week 06:
+##### Overview/Topics: Final Project
+* Doing the final assignment in Watson studio
+
+##### Programming Assignments:
+   - [Week 06: Final Assignment](https://github.com/Sowmik23/ML_with_Python/blob/master/Machine_Learning_with_Python.ipynb)
+