Notebooks

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

5 rows × 100 columns

Introduction To Matplotlib

5 rows × 25 columns 

import torch
import torch.distributions as dist
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

 

64 rows × 2 columns

 

import pandas as pd
import numpy as np


num_rows = 10
department = np.random.choice(['HR', 'IT', 'Finance','Sales'], num_rows)
department
array(['Sales', 'IT', 'HR'…
 

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

import ipywidgets
print(ipywidgets.__version__)
8.1.5

Principal Component Analysis

ML 
import matplotlib.pyplot as plt
import numpy as np
print(np.__version__)
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Apr 15, 2025
Nipun Batra

Random Vector

ML
25000 rows × 2 columns
Apr 15, 2025
Nipun Batra

Joint distribution properties

ML
Analytical solution for the expected value of the product of two random variables: \(X\sim U(0,1)\) and \(Y\sim U(0,1)\).
Mar 24, 2025
Nipun Batra

Distributions in 2D

ML 
import matplotlib.pyplot as plt
import numpy as np
print(np.__version__)
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Mar 18, 2025
Nipun Batra

 

Independent and Identically Distributed (i.i.d)

ML 
import matplotlib.pyplot as plt
import numpy as np
print(np.__version__)
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Mar 18, 2025
Nipun Batra

Images (Joint distribution)

ML 
import matplotlib.pyplot as plt
import numpy as np
print(np.__version__)
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Mar 18, 2025
Nipun Batra

Cumulative Distribution Function (CDF)

ML 
import matplotlib.pyplot as plt
import numpy as np
print(np.__version__)
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Mar 5, 2025
Nipun Batra

PDF of some common continuous random variables and applications

ML
Let \(X\) be a random variable that follows a normal distribution with mean \(\mu\) and variance \(\sigma^2\). The probability density function (PDF) of \(X\) is given by:
Feb 17, 2025
Nipun Batra

PMF and some common discrete distributions

ML
Let \(X\) be a Bernoulli random variable. \(X\) can take on one of two values, 0 or 1, with probabilities \(1-p\) and \(p\), respectively.
Feb 11, 2025
Nipun Batra

CDF for discrete random variables

ML 
import matplotlib.pyplot as plt
import numpy as np
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Feb 10, 2025
Nipun Batra

PMF and their applications

ML 
import matplotlib.pyplot as plt
import numpy as np
import torch 
import torch.nn as nn

import pandas as pd
# Retina mode
%matplotlib inline
%config…
Feb 10, 2025
Nipun Batra

Introduction to Pandas

## 1. Introduction
Jan 13, 2025
Nipun Batra, Shreyans Jain, Guntas Singh Saran

Introduction to NumPy

Why not use Python lists instead of NumPy arrays?
Jan 7, 2025
Nipun Batra, Shreyans Jain

Inroduction

ML 
import matplotlib.pyplot as plt
import numpy as np
import torch 
import pandas as pd
# Retina mode
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
Jan 5, 2025
Nipun Batra

Set

ML 
import matplotlib.pyplot as plt
import numpy as np
import torch 
import pandas as pd
# Retina mode
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
Dec 7, 2024
Nipun Batra

Random Variables

ML 
import matplotlib.pyplot as plt
import numpy as np
import torch 
import pandas as pd
# Retina mode
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
Dec 5, 2024
Nipun Batra
No matching items