Master Class by HBA Services (Paid Courses For Free) - Data Science FULL Course for Beginners | Complete RoadMap | Simply Explained

Asalam o Alekum! Video Title: ⭐⭐ Learn Freelancing in Just 100Rs/Day 👉 https://swiy.co/CME-freelance- ______________________ Tools I Personally Use (my suggestions):- ⭐⭐ Learn Freelancing in Just 100Rs/Day 👉 https://hbaservices.com/digital/ ———————————— ⭐ Follow me on Linkedin 👉 https://swiy.co/linkedin-hbaservices ———————————— ⭐ Get a Free Logo & Website For Your Business 👉 https://swiy.co/businesses ———————————— ______________________ DISCLAIMER: Some of the links here are affiliate links. This means that I may earn a commission at no additional cost if you click through and make a purchase. These commissions help me create free valuable videos like these. ______________________ Time-Stamps:- Time stamps for data science course 0:00 Intro 2:13 Teacher's intro PYTHON 3:27 Installing python 4:51 Installing visual studio code 6:58 Installing extensions in visual studio code 8:56 variables in python 11:06 strings in python 13:06 lists in python 16:53 if conditions in python 17:45 typecasting in python 23:40 f strings in python 24:50 operators in IDLE 30:01 loops in python 51:58 functions in python JUPYTER NOTEBOOK 59:16 Installing Jupyter notebook in VS code 1:00:19 Installing modules(pandas, NumPy, matplotlib, seaborn, scikit-learn, TensorFlow) 1:01:42 Opening Jupyter notebook 1:02:39 Jupyter notebook interface 1:06:08 Markdown in Jupyter notebook 1:07:25 Running code in Jupyter notebook 1:08:45 Sample notebooks 1:11:30 Jupyter notebook in VS code NUMPY 1:14:21 Introduction to NumPy 1:16:33 Arrays in NumPy 1:18:53 Matrices 1:20:29 Array types and functions PANDAS 1:34:16 Introduction to Pandas 1:36:03 Data frames 1:37:03 Data frames' functions MATPLOTLIB 1:51:28 Introduction to Matplotlib 1:52:36 Line charts 1:57:08 Bar charts 2:02:18 Histograms 2:06:56 Box plots LINEAR REGRESSION 2:12:30 Introduction to Machine Learning 2:15:11 Linear Regression 2:20:14 Loss Function 2:24:21 Straight line equation 2:27:04 Importing sklearn 2:30:12 Fitting model(model.fit) 2:31:33 Prediction in Linear Regression 2:34:47 Exercise, "Our own Dataset Prediction" 2:35:59 Website for understanding Linear Regression DEEP LEARNING 2:36:35 Introduction to Deep Learning 2:39:10 Neural Networks 2:48:08 Evolution of Machine Learning to Deep Learning 2:49:32 Why Deep Learning is important? 2:50:37 Core concepts of Deep Learning 2:58:10 How Deep Learning works 2:58:23 AI vs DL 2:58:44 What is Deep Learning used for? 3:03:30 Deep Learning models 3:10:11 NLP 3:14:10 Gradient Descent 3:15:15 Popular Algorithms 3:15:46 Deep Learning Frameworks 3:16:40 Final Words #hbaservices