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Normal Distribution Final Part I :#178 Data Sc. and A.I. Lect. Series
Negative Binomial Distribution | Simple Explanation #177 Data Sc. and A.I. Lect. Series
Support Vector Machines Made Easy | SVM Explained with Example
Geometric Distribution Made Simple | Stepwise Approach #176 Data Sc. and A.I. Lect. Series
Hypergeometric Distribution A Distribution of Dependent Events #175 Data Sc. and A.I. Lect. Series
Discrete Uniform Distribution in Statistics #174 Data Sc. and A.I. Lect. Series
Naive Bayes Explained with Weather Dataset Simple Step by Step Classification Tutorial
Text Classification with Bag of Words and Naive Bayes
Fitting of Poisson Distribution #173 Data Sc. and A.I. Lect. Series
Filters or Kernels in Image Processing
Gradient of Softmax +Cross Entropy W.R.T. Lozits
Understanding Neural Networks: Softmax, Cross-Entropy, and Backpropagation Explained
Neural Network with Backpropagation
I.I. T. Guwahati TechExpo Model Presentation #ai #machinelearning #deeplearning #robotics
I.I.T Guwahati TechExpo Model Presentation #ai #machinelearning #deeplearning #robotics
Spectrogram of Speech in Python
Understanding Speech Data using Python
Introduction to Natural Language Processing
Reading, Saving, and Displaying an Image in Python
What is an Image and How is it Stored on a Computer?
Poisson Distribution Numerical Examples #172 Data Sc. and A.I. Lect. Series
Feature Scaling in Machine Learning : Preprocessing Technique
Linear Regression using Gradient Descent
Label Encoding and One Hot Encoding in Machine Learning
K-Nearest Neighbors (KNN) Classifier and Imputation using KNN
Handling Missing Data and Categorical Features | Data Preprocessing with Titanic Dataset
What is Data Preprocessing
Understand Poisson Distribution Video #171 Data Sc. and A.I. Lect. Series
Binomial Distribution Mean and Variance Related Problems| Video #170 Data Sc. and A.I. Lect. Series
Transfer Learning and Fine Tuning Large Language Models