TF-IDF Courses and Certifications

Introduction to TF-IDF Vectorization in Python

1 review

Master text vectorization techniques using TF-IDF in Python, from basic implementation to advanced parameter customization. Convert text data into numerical features and optimize for machine learning applications.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Data Science Dojo

TF-IDF - Introduction to Text Analytics with R

Explore TF-IDF for text analytics in R: improve document representation, handle unequal lengths and common terms, implement TF-IDF, and clean data matrices post-weighting.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Data Science Dojo

N-Grams - Introduction to Text Analytics with R

Explore N-grams in text analytics, including TF-IDF validation, word ordering, dimensionality challenges, and hardware limitations. Enhance your R-based text analysis skills.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Data Science Dojo

Introduction to Text Analytics with R - Pre-Processing Our Test Data

Learn to preprocess test data, cache IDF values, perform SVD projections, and evaluate model effectiveness for text analytics in R. Enhance your skills in handling unseen textual data and making predictions.

• YouTube
• 27 minutes
• On-Demand
• Free Video

James Briggs

Vector-Based Methods for Similarity Search - TF-IDF, BM25, SBERT

Explore three vector-based approaches for language comparison and document similarity: TF-IDF, BM25, and Sentence-BERT. Learn key techniques for building effective search engines in AI and machine learning.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Learn Retrieval Augmented Generation

71 ratings at Boot.dev

Master modern search techniques from keyword to vector search, building complete RAG pipelines with Python, embeddings, LLMs, and multimodal retrieval systems.

• Boot.dev
• 40 hours
• On-Demand
• Paid Course

Feature Engineering for NLP in Python

13 ratings at DataCamp

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Natural Language Processing (NLP) in Python

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Combining the Best of Two Worlds: From TF-IDF to Llama LLM

Explore combining traditional NLP with LLMs to solve hallucination issues and create robust applications. Learn practical insights for leveraging foundational NLP principles alongside advanced LLM technology.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Microcredential

Introduction to Natural Language Processing

22 ratings at CodeSignal

Dive into foundational NLP concepts, from text preprocessing to machine learning models, while mastering data exploration, vectorization techniques, and text classification using Python and real-world datasets.

• CodeSignal
• 10 hours
• On-Demand
• Free Certificate
• 4 courses

Microcredential

Text Classification with Natural Language Processing

23 ratings at CodeSignal

Master text classification techniques from data preparation to advanced modeling, including feature engineering, algorithm implementation, and deep learning optimization with TensorFlow.

• CodeSignal
• 21 hours
• On-Demand
• Free Certificate
• 4 courses

Advanced Data Cleaning: Handling Text Data with Python

Master advanced text data cleaning techniques in Python, from handling mixed data types to extracting ML-ready features from messy tabular datasets.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Foundations of NLP Data Processing

Master text cleaning, vectorization techniques (TF-IDF, embeddings), modern tokenization, and scalable data pipelines for NLP and LLMs through hands-on practice.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Feature Engineering for Text Classification

1 review

Master text classification techniques through hands-on practice with tokenization, Bag-of-Words, TF-IDF, sparse matrices, and dimensionality reduction for effective natural language processing applications.

• CodeSignal
• 5 hours
• On-Demand
• Free Certificate

NLP in Python: Probability Models, Statistics, Text Analysis

54 ratings at Udemy

Master Language Models, Hidden Markov Models, Bayesian Methods & Sentiment Analysis for Real-World Applications

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course