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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
23 июл 2024
