As I'm getting started with ML and DS. I will start coding python for 100 days from the very basic of it.
Day-1: Installation and setup the Python Environment.
Day-2: Variables and Data-Types in python. Both Primitive and Non-Primitive.
Day-3: Operator, Operands Expressions and Input in Python.
Day-4: Control Flow, Lists and Sets.
Day-5: Strings and Common Data Structures in Python.
Day-6: Looping in Python. For and While Loop.
Day-7: Functions in Python. User Defined and Built-in.
Day-8 Completed the Concept of Advanced Python Concept Object Oriented Programming.
Day-9 Learning seaborn and Matplotlib Libraries of Python.And take Practice on Corona-Virus-2023 dataset, Project Link here :https://github.com/Nimra064/Corona-Virus-2023-Data-Analysis-
Day-10: learned an Advanced Numpy by Juan Nunuz-Iglesias.Link here: https://www.youtube.com/watch?v=cYugp9IN1-Q
Day-11: Collect the Automotive Dataset from kaggle and apply the Advance Concept of Numpy and Pandas.
Day-12: Trained the Automotive Dataset and Develop the Streamlit Application.Explore through this link : https://github.com/Nimra064/Automobile-Dataset/tree/main
Day-13: Learned the Concept of Machine Learning, Type of Machine Learning and Major Focus on Supervised Machine Learning
Day-14: Completed the videos of week 1 of Supervised Machine Learning Course on Courera. Course Link : https://www.coursera.org/learn/machine-learning
Day-15: Completed the videos of week 2 of Supervised Machine Learning Course on Courera
Day-16: Completed the videos of week 3 of Supervised Machine Learning Course on Courera
Day-17: Solved the Excercises of Week 1 , Week 2 & Week 3 of Supervised Machine Learning Course on Courera.Solve solution here:https://github.com/Nimra064/Supervised-Machine-Learning-Course-Solve-Solution-on-Coursera-2023
Day-18: Solved the week 1 , week 2 & week 3 Final Projects of Supervised Machine Learning Course on Courera.Solve Solution here:https://github.com/Nimra064/Supervised-Machine-Learning-Course-Solve-Solution-on-Coursera-2023
Day-19: Completed the videos lectures of KNN and Clustering.
Day-20 : Completed the 4 videos Lecture of Support Vector Machine and Write the Article: https://medium.com/@nimrashahzadisa064/learn-how-to-use-support-vector-machine-for-data-science-654fac1e3b3f
Day-21 : Do Practice on NASA: Asteroids Classification dataset, dataset link here : https://www.kaggle.com/datasets/shrutimehta/nasa-asteroids-classification and apply the Support Vector Machine Algorithm. Code link here : https://github.com/Nimra064/NASA-Asteroids-Classification
Day-22 : Complete the 5 tutorials of introduction of Deep Learning and Write the Article on the Topic of Deep Class Generative Adversarial Networks(DCGANs) link here : https://medium.com/@nimrashahzadisa064/deep-class-generative-adversarial-networks-dcgans-2b5441d731b Tutorials Links Here : https://www.youtube.com/watch?v=7sB052Pz0sQ&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=1&ab_channel=AlexanderAmini
Day-23 : Complete the tutorials of Deep learning , in which cover the Topic of NN , Backpropagation and CNN. Day-24 : Complete the internship Final Project: Detect the Forest Fire from videos by using Yolo Nas, Link here: https://github.com/Nimra064/Forest-Fire-Detection-using-YOLO-Nas