{"id":20165754,"url":"https://github.com/aliktk/machine_learning_chilla","last_synced_at":"2026-03-19T14:17:14.497Z","repository":{"id":162715894,"uuid":"468823604","full_name":"Aliktk/machine_learning_chilla","owner":"Aliktk","description":"This repository contains practice materials of Machine Learning with Python which are used to deliver online training course. 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The course was sponsered by **[codenics](http://codanics.com/)** and **[Scholership Network](https://www.facebook.com/groups/scholarships.pk/)**. **Pakistan**\r\nThis course is for everyone who want to make their carrer in Machine Learning. The instructor was **Dr. Ammar Tufail**.\r\n\r\n__Objectives__: \r\n  1. Expand the cohort Students with intermediate-level Python skills; \r\n  2. Contribute to quality of Data Scientist  Resources in Pakistan; \r\n  3. Non computer back ground can expand the Machine Learning Algorithms for their Papers using different libraries and modeling.\r\n\r\n__Prerequisites and format__: Basic of Python programming language and Pandas, Numpy matplot experience is needed. The sessions will comprise short lecture-style teaching by the instructor, Interactive session and assignmnets session where every participants write code on their own laptops and show thier output.\r\n\r\n__Participant outcomes__: With no coding knowledge before the course, participants should be able to access and combine a diverse set of datasets, conduct data exploration and visualization, utilize Python libraries for demographic, image data and machine learning, and be able to self-teach next steps in their specialized domain.\r\n\r\n# Project work\r\nTo gain credit, participants are required to submit a complete set of assignments, notebooks compiled in one file or should be in detailed projects groups. The format is a Jupyter Notebook/PDF. The notebook should ingest, analyze and visualize data using Python, to address the real understaing of the students and need of the participant's.\r\n\r\n# Running the scripts\r\nTwo methods:\r\n* _Beginner method:_ Click the links to 'open notebook in Colab.' (no software installation required)\r\n* _Preferred method:_ Install Anaconda Navigator from the software catalogue on eServices. Download the scripts (or clone the repository with Git) and load the notebooks (.ipynb files) in Jupyter Notebooks on your laptop.\r\n* _Preferred method:_ After cloning open the terminal and run the below command if you are able to do it. Other wise install it manually.\r\n\r\n**How To Make Vir-Enviroment using conda**\r\n```python\r\nconda create -n ml-chilla python=3.6\r\nconda activate ml-chilla\r\n```\r\nInstall the required libraries by using folllowing commands.\r\n```python\r\npip install -r /path/to/requirements.txt\r\n```\r\n\r\n# Course Schedule\r\nThe course Started on 11th March 2022, Frinday Night on 9.30pm.\r\n1. Fall 2022 8-week course\r\n2. 11th March 2022 40-days course\r\n3. **Note:** The Week will be 5 Days in this Chilla\r\n\r\n|Week | Mode | Topics|\r\n|----|----|----|\r\n|**[Week 1](https://github.com/Aliktk/Python_Chilla/tree/main/Python_hands_on)**| Zoom |  Installation of VS Code, First Line of code, Libraries, Python syntax, intro to control flow including Weekly Workshop. |\r\n\r\n+ Materials in the repos can be freely with credit and giving start and fork operation.\r\n+ This Repo will be refine with time.\r\n\r\n\r\n-------------------------\r\n#### **Materials developed by**\r\n\u003e **Ali Nawaz**\r\n\r\n-------------------------\r\n\r\n\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faliktk%2Fmachine_learning_chilla","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faliktk%2Fmachine_learning_chilla","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faliktk%2Fmachine_learning_chilla/lists"}