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Welcome to 2023, in this video I talk about the fastest way you can learn python for data science and gain the skills that you need ...

Backpropagation is a process involved in training a neural network. It involves taking the error rate of a forward propagation and ...

langchain rag tutorial and issues // production level rag system using langchain // Advanced rag **Word Embeddings:** Word ...

Machine learning is a subset of AI, which enables the machine to automatically learn from data, improve performance from past ...

SUPERVISED LEARNING- INPUT REPRESENTATION, HYPOTHESIS CLASS, VERSION SPACE. #ktutuition #KeralaTechUni ...

In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree ...

K-Means Clustering is an unsupervised learning algorithm that is used to solve the clustering problems in machine learning or ...

Backpropagation, or backward propagation of errors, is an algorithm that is designed to test for errors working back from output ...

The VC dimension is a fundamental concept in statistical learning theory that measures the complexity of a hypothesis set.

If a single independent variable is used to predict the value of a numerical dependent variable, then such a Linear Regression ...

In this video, I talked about how much you could make as a Data Science intern. I hope you enjoyed watching. Don't forget to ...

This one comment can change your next 15 days — not because of motivation, but because of accountability. In this video, I'm ...

In Vapnik–Chervonenkis theory, the Vapnik–Chervonenkis (VC) dimension measures the capacity (complexity, expressive power, ...

There are many ways for measuring classification performance. Accuracy, confusion matrix, log-loss, and AUC-ROC are some of ...

In this video I have given step by step guide how to Install Anaconda and VS Code. It is very important to do it in a right ...

Multiple linear regression is a statistical technique that uses multiple linear regression to model more complex relationships ...

Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as ...

In this video, I share my personal journey of transitioning into the field of Data Analytics / Data Science — the challenges I faced, ...

An ROC curve (receiver operating characteristic curve) is a graph showing the performance of a classification model at all ...

Thinking of starting a career in Data Science in 2025? This step-by-step guide breaks down everything you need: skills, tools, and ...