Notebooks

import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(-5,5,1000) y = x**2 plt.plot(x,y) plt.title(“Cost Function”) 

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
 

import numpy as np
import matplotlib.pyplot as plt
plt.get_cmap('gnuplot2')

Question 

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib
/tmp/ipykernel_2413694/3589217045.py:3: DeprecationWarning: 
Pyarrow will become a…

 

import numpy as np
import pandas as pd
from sklearn.tree import DecisionTreeClassifier,DecisionTreeRegressor
from sklearn.model_selection import train_test_split
from sklear…

 

Notebook to demonstrate Zero shot and Few shot Learning

NOTE : DO NOT SHARE THE API KEY WITH ANYONE. DO NOT COMMIT THE API KEY TO GITHUB.

Autocorrelation Function (ACF):

Simple Linear Regression model 

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline

from math import sqrt
SPINE_COLOR = 'gray'
 

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
/home/nipunbatra-pc/anaconda3/lib/python3.7/importlib/_bootstrap.py:219…
 

import sklearn
from sklearn.datasets import load_digits
import matplotlib.pyplot as plt
%config InlineBackend.figure_format = 'retina'

 

Introduction to Neural Networks

On which dimensions should we apply the vectorization? - Current layer’s neurons size - Number of examples 

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
%config InlineBackend.figure_format = 'retina'
 

import numpy as np
import time
import matplotlib.pyplot as plt
%config InlineBackend.figure_format='retina'

Meshgrid

ML
Usually when dealing with images, the shapes are of the form \((B \times C \times H \times W)\) where
\(B\): Batch Size
\(C\): Number of Image Channels
\(H\): Image Height
…
Aug 20, 2024
Nipun Batra, Guntas Singh Saran

SVM implementation using CVXOpt

SVM using CVXOpt
Apr 12, 2024
Nipun Batra

SVM Kernels Understanding

SVM Kernels Understanding
Apr 12, 2024
Nipun Batra

PCA

ML 
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.optim as optim
%matplotlib inline
# Retina 
%config…
Apr 6, 2024
Nipun Batra

KNN variants (tutorial)

ML 
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# Retina 
%config InlineBackend.figure_format = 'retina'
Apr 5, 2024
Nipun Batra

 

Reinforcement Learning 1 Gym Environments

ML
Reference
Apr 1, 2024
Nipun Batra

Reinforcement Learning 3 Deep Q Learning

ML
Reference
Apr 1, 2024
Nipun Batra

Reinforcement Learning 2 Q Learning

ML
Reference
Apr 1, 2024
Nipun Batra

Generating names using MLPs

Generating names
Mar 31, 2024
Nipun Batra

Logistic Regression Torch

ML
150 rows × 3 columns
Feb 27, 2024
Nipun Batra

 

Why use logits

ML 
import numpy as np
import sklearn 
import torch
import torch.nn as nn
import matplotlib.pyplot as plt
from latexify import *
%matplotlib inline
%config…
Feb 27, 2024
Nipun Batra

Some practice problems

ML
\(\hat{y} = x^T\theta\)
Feb 13, 2024
Nipun Batra

 

Sklearn on GPU

ML
Tutorial
https://scikit-learn.org/stable/modules/array_api.html
Feb 12, 2024
Kalash Kankaria

Movie Recommendation using Matrix Factorization

Movie Recommendation using Matrix Factorization
Feb 6, 2024
Nipun Batra

Polynomial Regression with Basis Functions

ML
Tutorial
Reference: https://alexshtf.github.io/2024/01/21/Bernstein.html
Jan 31, 2024
R Yeeshu Dhurandhar, Nipun Batra

 

Dummy Variables and Multi-collinearity

ML 
import matplotlib.pyplot as plt
import pandas as pd
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import numpy as np
Jan 27, 2024
Nipun Batra

Taylor’s Series

ML
Tutorial 
import matplotlib.pyplot as plt
import numpy as np
import torch
%config InlineBackend.figure_format = 'retina'
%matplotlib inline
Jan 27, 2024
Nipun Batra

Geometric interpretation of Linear Regression

ML 
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import numpy as np
Jan 25, 2024
Nipun Batra

Basis Expansion in Linear Regression

ML
766 rows × 8 columns
Jan 22, 2024
Nipun Batra, R Yeeshu Dhurandhar, Kalash Kankaria, Inderjeet Singh Bhullar

Basis Expansion in Linear Regression

ML 
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing imp…
Jan 22, 2024
Nipun Batra, R Yeeshu Dhurandhar

Contour and Surface Plots

ML 
import matplotlib.pyplot as plt
import numpy as np
# Retina mode
%config InlineBackend.figure_format = 'retina'
%matplotlib inline
Jan 21, 2024
Nipun Batra

 

Decision Trees Discrete Input and Discrete Output

ML 
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Retina mode
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

from latexify import …
Jan 21, 2024
Nipun Batra

Sirens v/s Linear Regression

ML 
import torch
import torchvision
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec

import numpy as np
import…
Jan 21, 2024
Nipun Batra

Random Forest Feature Importance

ML
150 rows × 5 columns
Jan 14, 2024
Nipun Batra, R Yeeshu Dhurandhar

Representation of Ensemble Models

ML 
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.model_selection import train_test_split
from sklearn.preprocessi…
Jan 14, 2024
Nipun Batra

Hyperparams Tuning Strategies Experimentation

ML
Tutorial
MakeMoons Dataset
Jan 11, 2024
Rahul Chembakasseril

Weighted Decision Trees

ML
Tutorial 
import numpy as np
import matplotlib.pyplot as plt
from latexify import latexify, format_axes
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
Jan 10, 2024
Chirag Sarda

Bias Variance Tradeoff

ML 
import numpy as np
import matplotlib.pyplot as plt
%config InlineBackend.figure_format = 'retina'
from latexify import latexify, format_axes
from sklearn.tree import Decisio…
Jan 9, 2024
Nipun Batra

Notion of Confusion in ML

ML
Tutorial 
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import accuracy_score, confusion_matrix, ConfusionMatrixDisplay…
Jan 4, 2024
R Yeeshu Dhurandhar

Comparison of Sophisticated vs Dummy Baseline ML Algorithms for Imbalanced Datasets

ML
Tutorial
Classification
Jan 4, 2024
Rahul Chembakasseril

Traditional Programming vs Machine Learning

ML
Tutorial
Note: As per rules, it is predicting most of the digits as non-4 for most of the digits. And since the number of non-4 digits are much more compared to number of instances…
Jan 4, 2024
R Yeeshu Dhurandhar, Rahul Chembakasseril

Decision Trees Real Input and Discrete Output

ML
Heavily borrowed and inspired from https://jakevdp.github.io/PythonDataScienceHandbook/05.08-random-forests.html
Jan 1, 2024
Nipun Batra

Decision Trees Real Output

ML 
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Retina mode
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

from latexify import …
Jan 1, 2024
Nipun Batra

Decision Trees Entropy

ML
How does xlogy handle the corner case?
Jan 1, 2024
Nipun Batra

Using Diffusion to Generate Images from Text

ML
References
Jan 1, 2024
Nipun Batra

Logistic Regression - I

ML 
import numpy as np
import sklearn 
import matplotlib.pyplot as plt
from latexify import *
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import matplotli…
Jan 1, 2024
Nipun Batra

Logistic Regression - Basis

ML 
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from latexify import *
from sklearn.linear_model import LogisticRegression
import matplotlib.patches as…
Jan 1, 2024
Nipun Batra

Logistic Regression - Iris dataset

ML 
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from latexify import *
from sklearn.linear_model import LogisticRegression
import matplotlib.patches as…
Jan 1, 2024
Nipun Batra

Logistic Regression - Cost Function

ML
\[\begin{align*} P(y | X, \theta) &= \prod_{i=1}^{n} P(y_{i} | x_{i}, \theta) \\ &= \prod_{i=1}^{n} \Big\{\frac{1}{1 + e^{-x_{i}^{T}\theta}}\Big\}^{y_{i}}\Big\{1 -…
Jan 1, 2024
Nipun Batra

Object detection using YOLO and segmentation using Segment Anything

ML
References
Jan 1, 2024
Nipun Batra

 

Perceptron learning algorithm

ML 
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
Jan 1, 2024
Nipun Batra

Decision Trees [Real I/P Real O/P, Bias vs Variance]

ML
Tutorial
Sine Dataset
Dec 31, 2023
Nipun Batra, Rahul Chembakasseril

Hyperparameter Tuning

ML
Tutorial
MakeMoons Dataset
Dec 31, 2023
Rahul Chembakasseril

 

Numpy Pandas Basics

ML
Tutorial
Wait! What happened?
Dec 31, 2023
R Yeeshu Dhurandhar, Nipun Batra

Basics of Classes and Plotting Trees

ML
Tutorial 
import matplotlib.pyplot as plt
import numpy as np
import graphviz
# Retina mode
%config InlineBackend.figure_format = 'retina'
%matplotlib inline
Dec 28, 2023
Nipun Batra

Anscombe’s Quartet

ML
Tutorial
Adapted from https://matplotlib.org/stable/gallery/specialty_plots/anscombe.html
Dec 27, 2023
Nipun Batra

Cross Validation Diagrams

ML
Tutorial
Adapted from https://matplotlib.org/stable/gallery/specialty_plots/anscombe.html
Dec 27, 2023
Nipun Batra

 

YouTube video to transcript using openAI whisper and summary using OLLama

ML
References
Dec 18, 2023
Nipun Batra

SVM with RBF kernel

SVM with RBF kernel
Apr 25, 2023
Nipun Batra

SVM Soft Margin

SVM Soft Margin
Apr 25, 2023
Nipun Batra

SVM Kernel

SVM Kernel
Apr 20, 2023
Nipun Batra

SVM

SVM
Apr 20, 2023
Nipun Batra

Curse of Dimensionality

Curse of Dimensionality
Apr 16, 2023
Nipun Batra

1d CNN

1d CNN
Apr 4, 2023
Nipun Batra

 

Autodiff

Autodiff Helper
Apr 4, 2023
Nipun Batra

CNN

CNN
Apr 3, 2023
Nipun Batra

CNN Edge 2d

CNNs
Jan 31, 2023
Nipun Batra
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