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qalmaqihir/qalmaqihir.github.io
Home
Home
Books Notes
Bootcamps Notes
Competitive Programming
Core Computer Science
My Research
About
Blogs
Contact
Books Notes
Books Notes
Data Science Handbook
Data Science Handbook
Chapter 2 - Introduction to Numpy
Chapter 2 - Introduction to Numpy
00 Understanding Data Types in Python
01 basics of numpy arrays
02 Computation on NumPy Arrays
03 Aggregation Min Max
04 Computation on Arrays Broadcasting
05 Comparisons Masks and Boolean Logic
06 Fany Indexing
07 Sorted Arrays
08 Structured Data
Chapter 3 - Data Manipulation with Pandas
Chapter 3 - Data Manipulation with Pandas
01 Introduction to Pandas Objects
02 Data Indexing and Selection
03 Operating on Data in Pandas
04 Handling Missing Data
05 Hierarchical Indexing
06 Combine dataset Concat and Append
07 Combining Dataset Merge and Join
08 Aggregation and Grouping
09 Pivot Tables
10 Vectoried String Operations
11 Working with Time Series
12 Frequency Offset
13 Resampling Shifting and Windowing
Example Visualizing Seattle Bicycle Counts
Example Birthrate Data
Example US States Data (Merge and Join)
Example Recipe Database
Chapter 4 - Visualization with Matplotlib
Chapter 4 - Visualization with Matplotlib
01general Matplotlib tips
02simple lineplots
03simple scatter plots
04visualizing errors
05density and contour plots
06Histograms Binnings and Density
07customized plot legends
08customizing colorbar
09multiple subplots
10text and annotation Example
11customizing ticks
12customizing matplotlib configuration and stylesheets
13threedimensional plotting
14 geographic data with basemap
15visualiztion with seaborn
example California cities
Example Exploring Marathon Finishing times
Example Handwritten Digits
Example surface temperature data
Example Visualizing a Mobius Strip
Machine Learning Handbook
Machine Learning Handbook
Bootcamps Notes
Bootcamps Notes
Numpy Crash Course
Numpy Crash Course
Numpy Topics
Numpy Topics
00 NumPy Arrays
01 NumPy Indexing and Selection
02 NumPy Operations
03 NumPy Exercises
04 NumPy Exercises Solutions
Pandas Crash Course
Pandas Crash Course
Pandas Topics
Pandas Topics
00 Intro to Pandas
01 Series
02 DataFrames
03 Missing Data
04 Groupby
05 Operations
06 Data Input and Output
07 Pandas Exercises
08 Pandas Exercises Solutions
PyTorch Baics
PyTorch Baics
PyTorch Topics
PyTorch Topics
00 Tensor Basics
01 Tensor Operations
02 PyTorch Basics Exercises
03 PyTorch Basics Exercises Solutions
PyTorch for Deeplearning Bootcamp
PyTorch for Deeplearning Bootcamp
ANN - Artificial Neural Networks
ANN - Artificial Neural Networks
00 PyTorch Gradients
01 Linear Regression with PyTorch
02 DataSets with Pytorch
03 Basic PyTorch NN
04a Full ANN Code Along Regression
04b Full ANN Code Along Classification
05 Neural Network Exercises
06 Neural Network Exercises Solutions
07 Recap Saving and Loading Trained Models
CNN - Convolutional Neural Networks
CNN - Convolutional Neural Networks
00 MNIST ANN Code Along
01 MNIST with CNN
02 CIFAR CNN Code Along
03 Loading Real Image Data
04 CNN on Custom Images
05 CNN Exercises
06 CNN Exercises Solutions
RNN - Recurrent Neural Networks
RNN - Recurrent Neural Networks
00 Basic RNN
01 RNN on a Time Series
02 RNN Exercises
03 RNN Exercises Solutions
Using GPU
Using GPU
00 Using GPU and CUDA
NLP with PyTorch
NLP with PyTorch
00 RNN for Text Generation
Tensorflow for Deeplearning Bootcamp
Tensorflow for Deeplearning Bootcamp
Colab Basics
Colab Basics
TF2 0 Demo
TF2 0 Installing Tensorflow
TF2 0 Loading Data
Machine Learning Basics
Machine Learning Basics
TF2 0 Linear Classification
TF2 0 Linear Regression
ANN - Artificial Neural Networks
ANN - Artificial Neural Networks
TF2 0 ANN MNIST
TF2 0 ANN Regression
CNN - Convolutional Neural Networks
CNN - Convolutional Neural Networks
TF2 0 Fashion MNIST
TF2 0 CIFAR
TF2 0 CIFAR Improved
RNN - Recurrent Neural Network
RNN - Recurrent Neural Network
TF2 0 Autoregressive Model
TF2 0 SimpleRNN Sine
TF2 0 RNN Shapes
TF2 0 LSTM Nonlinear
TF2 0 Long Distance
TF2 0 RNN MNIST
TF2 0 Stock Returns
NLP - Natural Language Processing
NLP - Natural Language Processing
TF2 0 Text Preprocessing
TF2 0 Spam Detection CNN
TF2 0 Spam Detection RNN
Recommendar Systems
Recommendar Systems
TF2 0 Recommender System
Transfer Learning
Transfer Learning
TF2 0 Transfer Learning
TF2 0 Transfer Learning with Data Augmentation
GANs - Generative Adversarial Networks
GANs - Generative Adversarial Networks
TF2 0 GAN
Advance Tensorflow
Advance Tensorflow
TF2 0 Serving
TF2 0 Mirrored Strategy
TF2 0 TFLite
TPU
Low-level Transorflow
Low-level Transorflow
TF2 0 Basic Computation
TF2 0 Variables and Gradient Tape
TF2 0 Build Your Own Model
Competitive Programming
Competitive Programming
Core Computer Science
Core Computer Science
ML Specialization
ML Specialization
ML Specialization - Course 1
ML Specialization - Course 2
ML Specialization - Course 3
NLP Specialization
NLP Specialization
NLP Specialization - Course 1
NLP Specialization - Course 2
NLP Specialization - Course 3
NLP Specialization - Course 4
IBM Data Science Specialization
IBM Data Science Specialization
None
NLP Specialization
NLP Specialization
None
My Research
My Research
About
About
About
Blog
Blog
2022
2022
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