🚀 Build Real AI Agents in 2026 (Not Just Demos) From RAG → Multi-Agent Systems → LangGraph → OpenAI Agents → LLM Fine-tuning 👉 This is a complete Agentic AI journey. 🤖 1. 2026 Deep Agent – Multi-Agent RAG with Gemini &...
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🎉 Private Agentic RAG with LangGraph and Ollama is now LIVE! 🎉 Hi everyone,I am excited to announce my brand-new course: 🔥 Agentic AI – Private Agentic RAG with LangGraph and Ollama 🔥This course teaches you how to build advanced, Read more
What is TFIDF? TF-IDF, short for term frequency-inverse document frequency, is a numerical statistic that is used to reflect how important a word is to a document in a corpus of documents. It is commonly used in natural language processing Read more
MLOps, or Machine Learning Operations, is the practice of combining machine learning and operations to enable the rapid, reliable, and secure development, deployment, and management of machine learning models. MLOps aims to streamline the process of building and deploying machine Read more
Does the magnitude of the variable matter? In Linear Regression models, the scale of variables used to estimate the output matters. Linear models are of the type y = w x + b, where the regression coefficient w represents the expected Read more
An outlier is a data point which is significantly different from the remaining data. “An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism.” [D. Read more
Linear models make the following assumptions over the independent variables X, used to predict Y: There is a linear relationship between X and the outcome Y The independent variables X are normally distributed There is no or little co-linearity among Read more
Labels that occur rarely Categorical variables are those whose values are selected from a group of categories, also called labels. Different labels appear in the dataset with different frequencies. Some categories appear more frequently in the dataset, whereas some other Read more
Cardinality refers to the number of possible values that a feature can assume. For example, the variable “US State” is one that has 50 possible values. The binary features, of course, could only assume one of two values (0 or Read more
Missing data, or missing values, occur when no data / no value is stored for certain observations within a variable. Incomplete data is an unavoidable problem in most data sources, and may have a significant impact on the conclusions that can be derived from Read more
One of the central concepts of data science is gaining insights from data. Statistics is an excellent tool for unlocking such insights in data. In this post, we’ll see some basic types of data(variable) which can be present in your Read more
How to use Pre-trained VGG16 models to predict object The VGG network architecture was introduced by Simonyan and Zisserman in their 2014 paper, Very Deep Convolutional Networks for Large Scale Image Recognition. This network is characterized by its simplicity, using Read more
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It is a cross-platform library for making 2D plots from data in arrays. It can be used in Python and IPython shells, Jupyter notebook and web Read more
Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed. pandas is a fast, powerful, flexible and easy to use Read more
What is Pandas? pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, in Python programming language. It is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy Read more
Resume NER Training In this blog, we are going to create a model using SpaCy which will extract the main points from a resume. We are going to train the model on almost 200 resumes. After the model is ready, Read more
Word Embedding and Sentiment Analysis What is Word Embedding? Natural Language Processing(NLP) refers to computer systems designed to understand human language. Human language, like English or Hindi consists of words and sentences, and NLP attempts to extract information from these Read more
Sentiment Classification using SpaCy What is NLP? Natural Language Processing (NLP) is the field of Artificial Intelligence concerned with the processing and understanding of human language. Since its inception during the 1950s, machine understanding of language has played a pivotal Read more
What is SpaCy? spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re working with a lot of text, you’ll eventually want to know more about it. For example, what’s it about? What do the Read more