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src=\"https://user-images.githubusercontent.com/67054356/132362689-31859a26-5d52-4eff-a4c4-ee6a8fd2f16c.png\"\u003e  \n\n\u003c/p\u003e\n\nThis course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \n\nIn this course, I did reviewed two main components:\n- First, I learned about the purpose of Machine Learning and where it applies to the real world. \n- Second, I got a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation and Machine Learning algorithms. \n\nIn this course, it was possible to practice with real-life examples of Machine learning and see how it affects society in ways I may not have guessed!\n\nBy just putting in a few hours a week, this is what i got.\n1) Review some skills such as regression, classification, clustering, sci-kit learn and SciPy \n2) New projects, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\n3) And a certificate in machine learning.\n\n## Skills covered and its notebooks:\n\n1. [Simple Linear Regression](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B1%5D%20Simple%20Linear%20Regression%20(CO2).ipynb).\n2. [Multiple Linear Regression](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B2%5D%20Mulitple%20Linear%20Regression%20(CO2).ipynb).\n3. [Polynomial Regression](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B3%5D%20Polynomial%20Regression%20(CO2).ipynb).\n4. [Non-linear Regression](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B4%5D%20None%20Linear%20Regression%20(China).ipynb).\n5. [K-Nearest Neighbors](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B5%5D%20K%20Nearest%20neighbors%20(CustCat).ipynb).\n6. [Decision Trees](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B6%5D%20Decision%20Trees%20(Drug).ipynb).\n7. [Logistic Regression](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B7%5D%20Logistic%20Regression%20(Churn).ipynb).\n8. [Suport Vector Machine - Cancer detection](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B8%5D%20SVM%20(cancer).ipynb).\n9. [K-Means - Customer Segmentation](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B9%5D%20K-Means%20(Customer%20Seg).ipynb).\n10. [Hierarchical Clustering - Cars clustering](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B12%5D%20RecSys%20(Collaborative%20Filtering%20movies).ipynb).\n11. [DBSCAN - Weather Station Clustering](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B11%5D%20DBSCN%20(weather).ipynb).\n12. [Colaborative Filtering - Creation of a recommendation system](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B12%5D%20RecSys%20(Collaborative%20Filtering%20movies).ipynb).\n13. [Content Based Filtering - Creation of a recommendation system](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/%5B13%5D%20RecSys%20(Content%20Based%20movies).ipynb).\n14. [Final project](https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/Final%20Assignment.ipynb) with full pipeline and aplication of classification algorithms: KNN, Decision Treens, SVM and Logistic Regression .\n\n## This Course Certificate:\n\n\u003cimg align=\"center\" src=\"https://github.com/1AyaNabil1/Machine-Learning-using-Python-by-IBM/blob/main/Screenshot%202023-10-09%20161352.png\" alt=\"banner\"\u003e\n\n#### ***Acknowledgment!!!***\n\nWarm Regards, \\\nAya Nabil \\\nEmail: ayanabil3200@gmail.com \n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1ayanabil1%2Fmachine-learning-using-python-by-ibm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F1ayanabil1%2Fmachine-learning-using-python-by-ibm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1ayanabil1%2Fmachine-learning-using-python-by-ibm/lists"}