Summaries of Abhishek Thakur Videos 📚

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Basic git commands everyone should know about thumbnail
Basic git commands everyone should know about
Abhishek Thakur
AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models thumbnail
AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models
Abhishek Thakur
What is stemming and lemmatization? thumbnail
What is stemming and lemmatization?
Abhishek Thakur
Talks S2E3 (Merve Noyan): BYOB - Build Your Own Bot thumbnail
Talks S2E3 (Merve Noyan): BYOB - Build Your Own Bot
Abhishek Thakur
100% Private & Local PDF ChatBot (without langchain) thumbnail
100% Private & Local PDF ChatBot (without langchain)
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-12 Part-1): Handling Missing Values in Datasets (imputing missing value) thumbnail
Kaggle's 30 Days Of ML (Day-12 Part-1): Handling Missing Values in Datasets (imputing missing value)
Abhishek Thakur
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show thumbnail
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur
Data Processing For Question & Answering Systems: BERT vs. RoBERTa thumbnail
Data Processing For Question & Answering Systems: BERT vs. RoBERTa
Abhishek Thakur
Hyperparameter Optimization: This Tutorial Is All You Need thumbnail
Hyperparameter Optimization: This Tutorial Is All You Need
Abhishek Thakur
TS-4: Sales and demand forecasting thumbnail
TS-4: Sales and demand forecasting
Abhishek Thakur
How To Become A Data Scientist In 1 Year (Learn From A Real World Example) thumbnail
How To Become A Data Scientist In 1 Year (Learn From A Real World Example)
Abhishek Thakur
How to convert almost any PyTorch model to ONNX and serve it using flask thumbnail
How to convert almost any PyTorch model to ONNX and serve it using flask
Abhishek Thakur
TS-8: Hierarchical Time Series thumbnail
TS-8: Hierarchical Time Series
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-14 Part-1): Intro to XGBoost thumbnail
Kaggle's 30 Days Of ML (Day-14 Part-1): Intro to XGBoost
Abhishek Thakur
Deep learning for (almost) any text classification problem (binary, multi-class, multi-label) thumbnail
Deep learning for (almost) any text classification problem (binary, multi-class, multi-label)
Abhishek Thakur
3. The dataset class in PyTorch thumbnail
3. The dataset class in PyTorch
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-13 Part-1): Scikit-Learn Pipelines thumbnail
Kaggle's 30 Days Of ML (Day-13 Part-1): Scikit-Learn Pipelines
Abhishek Thakur
Song Popularity Prediction: EDA with Martin Henze (Part-2) thumbnail
Song Popularity Prediction: EDA with Martin Henze (Part-2)
Abhishek Thakur
Data representations for neural networks thumbnail
Data representations for neural networks
Abhishek Thakur
Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine) thumbnail
Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)
Abhishek Thakur
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6 thumbnail
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Abhishek Thakur
1. Tensors in PyTorch thumbnail
1. Tensors in PyTorch
Abhishek Thakur
Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization thumbnail
Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization
Abhishek Thakur
Unboxing and Installing NVIDIA RTX 3090: The BFGPU thumbnail
Unboxing and Installing NVIDIA RTX 3090: The BFGPU
Abhishek Thakur
TS-5: Automatic for the people thumbnail
TS-5: Automatic for the people
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-10): Underfitting, Overfitting & Random Forests thumbnail
Kaggle's 30 Days Of ML (Day-10): Underfitting, Overfitting & Random Forests
Abhishek Thakur
Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis thumbnail
Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation thumbnail
Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation
Abhishek Thakur
Build Your Own PyTorch Trainer! thumbnail
Build Your Own PyTorch Trainer!
Abhishek Thakur
What Are Decision Trees And How Do They Work? (From Scratch) thumbnail
What Are Decision Trees And How Do They Work? (From Scratch)
Abhishek Thakur
TS-6: Deep learning for time series - sequences thumbnail
TS-6: Deep learning for time series - sequences
Abhishek Thakur
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks thumbnail
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks
Abhishek Thakur
TS-10: Validation methods for time series thumbnail
TS-10: Validation methods for time series
Abhishek Thakur
7. Linear regression model in PyTorch thumbnail
7. Linear regression model in PyTorch
Abhishek Thakur
Text Extraction From a Corpus Using BERT (AKA Question Answering) thumbnail
Text Extraction From a Corpus Using BERT (AKA Question Answering)
Abhishek Thakur
Episode 6: Simple and Basic Evaluation Metrics For Regression thumbnail
Episode 6: Simple and Basic Evaluation Metrics For Regression
Abhishek Thakur
How to create GPT-powered conversational bot for any website thumbnail
How to create GPT-powered conversational bot for any website
Abhishek Thakur
Stable Diffusion XL (SDXL) DreamBooth: Easy, Fast & Free | Beginner Friendly thumbnail
Stable Diffusion XL (SDXL) DreamBooth: Easy, Fast & Free | Beginner Friendly
Abhishek Thakur
Data Science PC Configs: From Low Range to Super-High Range thumbnail
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-8): What is a machine learning model and what is pandas all about? thumbnail
Kaggle's 30 Days Of ML (Day-8): What is a machine learning model and what is pandas all about?
Abhishek Thakur
Finetune LLMs (llama, vicuna, gptneo, pythia) without any code! thumbnail
Finetune LLMs (llama, vicuna, gptneo, pythia) without any code!
Abhishek Thakur
🤗 AutoTrain: Train state-of-the-art image classification models (no code) thumbnail
🤗 AutoTrain: Train state-of-the-art image classification models (no code)
Abhishek Thakur
Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio) thumbnail
Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)
Abhishek Thakur
The FASTEST way to build CHAT UI for LLAMA-v2 thumbnail
The FASTEST way to build CHAT UI for LLAMA-v2
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-2): Say Hello to Python: variables, types and arithmetic operations thumbnail
Kaggle's 30 Days Of ML (Day-2): Say Hello to Python: variables, types and arithmetic operations
Abhishek Thakur
1-Click LLM Deployment! thumbnail
1-Click LLM Deployment!
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-7): What are public and private leaderboard? thumbnail
Kaggle's 30 Days Of ML (Competition Part-7): What are public and private leaderboard?
Abhishek Thakur
Talks S2E1: DALL·E mini - Generate images from a text prompt thumbnail
Talks S2E1: DALL·E mini - Generate images from a text prompt
Abhishek Thakur
Implementing original U-Net from scratch using PyTorch thumbnail
Implementing original U-Net from scratch using PyTorch
Abhishek Thakur
Building a summarizer using XGen-7b: Fully open source LLM by Salesforce thumbnail
Building a summarizer using XGen-7b: Fully open source LLM by Salesforce
Abhishek Thakur
Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale thumbnail
Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale
Abhishek Thakur
VS Code (codeserver) on Google Colab / Kaggle / Anywhere thumbnail
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
Abhishek Thakur
What is deep learning? thumbnail
What is deep learning?
Abhishek Thakur
I just got access to GitHub's Codespaces and it's amazing! thumbnail
I just got access to GitHub's Codespaces and it's amazing!
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1) thumbnail
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking thumbnail
Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking
Abhishek Thakur
How do I start my career in Data Science? thumbnail
How do I start my career in Data Science?
Abhishek Thakur
Custom object detection in Python using YOLOv8 thumbnail
Custom object detection in Python using YOLOv8
Abhishek Thakur
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python thumbnail
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Abhishek Thakur
Ensembling, Blending & Stacking thumbnail
Ensembling, Blending & Stacking
Abhishek Thakur
My First Neural Network using Keras thumbnail
My First Neural Network using Keras
Abhishek Thakur
BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs thumbnail
BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs
Abhishek Thakur
Training BERT Language Model From Scratch On TPUs thumbnail
Training BERT Language Model From Scratch On TPUs
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101 thumbnail
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101
Abhishek Thakur
2. PyTorch Autograd thumbnail
2. PyTorch Autograd
Abhishek Thakur
The EASIEST way to finetune LLAMA-v2 on local machine! thumbnail
The EASIEST way to finetune LLAMA-v2 on local machine!
Abhishek Thakur
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster? thumbnail
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
Abhishek Thakur
Movie Genre Prediction thumbnail
Movie Genre Prediction
Abhishek Thakur
Docker For Data Scientists thumbnail
Docker For Data Scientists
Abhishek Thakur
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously thumbnail
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur
Talks # 15: Shubhadeep Roychowdhury; Applying Machine Learning  on  Source Code thumbnail
Talks # 15: Shubhadeep Roychowdhury; Applying Machine Learning on Source Code
Abhishek Thakur
BARK: Free Text to Speech & Voice Cloning thumbnail
BARK: Free Text to Speech & Voice Cloning
Abhishek Thakur
Building an entity extraction model using BERT thumbnail
Building an entity extraction model using BERT
Abhishek Thakur
Best computer vision competitions on Kaggle (for beginners) thumbnail
Best computer vision competitions on Kaggle (for beginners)
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-1): Cross Validation & First Submission on Kaggle thumbnail
Kaggle's 30 Days Of ML (Competition Part-1): Cross Validation & First Submission on Kaggle
Abhishek Thakur
TS-3: Time series models for finance thumbnail
TS-3: Time series models for finance
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-6): Python Strings and Dictionaries thumbnail
Kaggle's 30 Days Of ML (Day-6): Python Strings and Dictionaries
Abhishek Thakur
Special Announcement: Approaching (almost) any machine learning problem thumbnail
Special Announcement: Approaching (almost) any machine learning problem
Abhishek Thakur
Natural Language Processing: Tokenization (Basic) thumbnail
Natural Language Processing: Tokenization (Basic)
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-5, Part-2): Python Loops and List Comprehension thumbnail
Kaggle's 30 Days Of ML (Day-5, Part-2): Python Loops and List Comprehension
Abhishek Thakur
5. Dataset class for simple image / vision problems thumbnail
5. Dataset class for simple image / vision problems
Abhishek Thakur
Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times thumbnail
Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-5, Part-1): Python Lists and Tuples thumbnail
Kaggle's 30 Days Of ML (Day-5, Part-1): Python Lists and Tuples
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-3): What is Target Encoding and how does it work? thumbnail
Kaggle's 30 Days Of ML (Competition Part-3): What is Target Encoding and how does it work?
Abhishek Thakur
Making Transformers go brum, brum, brum 🏎 (with Lewis Tunstall) thumbnail
Making Transformers go brum, brum, brum 🏎 (with Lewis Tunstall)
Abhishek Thakur
TS-9: Hybrid methods for time series thumbnail
TS-9: Hybrid methods for time series
Abhishek Thakur
I got a chance to try NVIDIA A100 GPU via qblocks.cloud thumbnail
I got a chance to try NVIDIA A100 GPU via qblocks.cloud
Abhishek Thakur
Build a web-app to serve a deep learning model for skin cancer detection thumbnail
Build a web-app to serve a deep learning model for skin cancer detection
Abhishek Thakur
Handling Missing Values (with Rob Mulla) thumbnail
Handling Missing Values (with Rob Mulla)
Abhishek Thakur
TS-11: Transfer learning for time series thumbnail
TS-11: Transfer learning for time series
Abhishek Thakur
Content Based Image Search: InstructBLIP + Sentence Transformers + FAISS thumbnail
Content Based Image Search: InstructBLIP + Sentence Transformers + FAISS
Abhishek Thakur
Deploy FULLY PRIVATE & FAST LLM Chatbots! (Local + Production) thumbnail
Deploy FULLY PRIVATE & FAST LLM Chatbots! (Local + Production)
Abhishek Thakur
Stable Diffusion Inpainting with Segment Anything Model (SAM) thumbnail
Stable Diffusion Inpainting with Segment Anything Model (SAM)
Abhishek Thakur
Tips & Tricks # 7: Fast, convenient & awesome code formatting using Black thumbnail
Tips & Tricks # 7: Fast, convenient & awesome code formatting using Black
Abhishek Thakur
Building a recommendation system using deep learning thumbnail
Building a recommendation system using deep learning
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna thumbnail
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna
Abhishek Thakur
Song Popularity Prediction EDA with Martin Henze (Heads or Tails) thumbnail
Song Popularity Prediction EDA with Martin Henze (Heads or Tails)
Abhishek Thakur
4. Dataset class for simple NLP problems thumbnail
4. Dataset class for simple NLP problems
Abhishek Thakur
Tips N Tricks #4: Using joblib to speed up almost any function (example 1) thumbnail
Tips N Tricks #4: Using joblib to speed up almost any function (example 1)
Abhishek Thakur
Build your own Stable Doodle: Sketch to Image thumbnail
Build your own Stable Doodle: Sketch to Image
Abhishek Thakur
6. Dataloader in PyTorch thumbnail
6. Dataloader in PyTorch
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-12 Part-2): Handling Categorical Variables thumbnail
Kaggle's 30 Days Of ML (Day-12 Part-2): Handling Categorical Variables
Abhishek Thakur
Tips N Tricks #2: Setting up development environment for machine learning thumbnail
Tips N Tricks #2: Setting up development environment for machine learning
Abhishek Thakur
Run LLAMA-v2 chat locally thumbnail
Run LLAMA-v2 chat locally
Abhishek Thakur
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes thumbnail
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
Abhishek Thakur
8. Training and validation loops in PyTorch thumbnail
8. Training and validation loops in PyTorch
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-9): First Machine Learning Model and Validation thumbnail
Kaggle's 30 Days Of ML (Day-9): First Machine Learning Model and Validation
Abhishek Thakur
Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments thumbnail
Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends) thumbnail
Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)
Abhishek Thakur
BERT Model Architectures For Semantic Similarity thumbnail
BERT Model Architectures For Semantic Similarity
Abhishek Thakur
Episode 4: Simple and Basic Binary Classification Metrics thumbnail
Episode 4: Simple and Basic Binary Classification Metrics
Abhishek Thakur
Episode 5: Entity Embeddings for Categorical Variables thumbnail
Episode 5: Entity Embeddings for Categorical Variables
Abhishek Thakur
Kaggle's 30 Days Of ML (Competition Part-2): Feature Engineering (Categorical & Numerical Variables) thumbnail
Kaggle's 30 Days Of ML (Competition Part-2): Feature Engineering (Categorical & Numerical Variables)
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-4): Python Booleans and Conditionals thumbnail
Kaggle's 30 Days Of ML (Day-4): Python Booleans and Conditionals
Abhishek Thakur
Episode 1.1: Intro and building a machine learning framework thumbnail
Episode 1.1: Intro and building a machine learning framework
Abhishek Thakur
Detecting Skin Cancer (Melanoma) With Deep Learning thumbnail
Detecting Skin Cancer (Melanoma) With Deep Learning
Abhishek Thakur
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch thumbnail
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch
Abhishek Thakur
Subword Tokenization: Byte Pair Encoding thumbnail
Subword Tokenization: Byte Pair Encoding
Abhishek Thakur
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss) thumbnail
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur
Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More thumbnail
Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More
Abhishek Thakur
NVIDIA Broadcast App: AI-based application for streaming / broadcasting / meeting (all features) thumbnail
NVIDIA Broadcast App: AI-based application for streaming / broadcasting / meeting (all features)
Abhishek Thakur
Talks S2E2 (Vasudev Gupta): Understanding BigBird (Transformers for Longer Sequences) thumbnail
Talks S2E2 (Vasudev Gupta): Understanding BigBird (Transformers for Longer Sequences)
Abhishek Thakur
Episode 3: Handling Categorical Features in Machine Learning Problems thumbnail
Episode 3: Handling Categorical Features in Machine Learning Problems
Abhishek Thakur
Training Sentiment Model Using BERT and Serving it with Flask API thumbnail
Training Sentiment Model Using BERT and Serving it with Flask API
Abhishek Thakur
TS-1: Curve fitting is (almost) all you need thumbnail
TS-1: Curve fitting is (almost) all you need
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-7): Working with external libraries in Python (final python day) thumbnail
Kaggle's 30 Days Of ML (Day-7): Working with external libraries in Python (final python day)
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-3): Python Functions thumbnail
Kaggle's 30 Days Of ML (Day-3): Python Functions
Abhishek Thakur
How to: AI Generated QR Codes (Using Python) thumbnail
How to: AI Generated QR Codes (Using Python)
Abhishek Thakur
My Journey: How I Became The World's First 4x (and 3x) Grand Master On Kaggle thumbnail
My Journey: How I Became The World's First 4x (and 3x) Grand Master On Kaggle
Abhishek Thakur
TS-7: Survival analysis thumbnail
TS-7: Survival analysis
Abhishek Thakur
Tips N Tricks #3: Creating a clean inference kernel/notebook on Kaggle thumbnail
Tips N Tricks #3: Creating a clean inference kernel/notebook on Kaggle
Abhishek Thakur
How to serve any machine learning or deep learning model using FastAPI thumbnail
How to serve any machine learning or deep learning model using FastAPI
Abhishek Thakur
Train LLMs in just 50 lines of code! thumbnail
Train LLMs in just 50 lines of code!
Abhishek Thakur
How to train a deep learning model using docker? thumbnail
How to train a deep learning model using docker?
Abhishek Thakur
Talks # 14: Martin Henze; Knowledge is Power: Understanding your Data through EDA and Visualisations thumbnail
Talks # 14: Martin Henze; Knowledge is Power: Understanding your Data through EDA and Visualisations
Abhishek Thakur
Kaggle Hidden Gems - The Competition (with Heads or Tails) thumbnail
Kaggle Hidden Gems - The Competition (with Heads or Tails)
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-14 Part-2): What is Data Leakage? thumbnail
Kaggle's 30 Days Of ML (Day-14 Part-2): What is Data Leakage?
Abhishek Thakur
Dockerizing the skin cancer detection web application thumbnail
Dockerizing the skin cancer detection web application
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2) thumbnail
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)
Abhishek Thakur
TS-2: ARIMA and Friends thumbnail
TS-2: ARIMA and Friends
Abhishek Thakur
Kaggle's 30 Days Of ML (Day-1): Getting Started With Kaggle thumbnail
Kaggle's 30 Days Of ML (Day-1): Getting Started With Kaggle
Abhishek Thakur
BERT Model for Toxic Comment Classification (with GitHub Copilot's help) thumbnail
BERT Model for Toxic Comment Classification (with GitHub Copilot's help)
Abhishek Thakur
How do random forests work? thumbnail
How do random forests work?
Abhishek Thakur
9. Understanding torch.nn thumbnail
9. Understanding torch.nn
Abhishek Thakur
How to train & deploy transformer models (BERT, RoBERTa, XLNet, etc.) without writing any code! thumbnail
How to train & deploy transformer models (BERT, RoBERTa, XLNet, etc.) without writing any code!
Abhishek Thakur
Best NLP competitions on Kaggle (to learn from) thumbnail
Best NLP competitions on Kaggle (to learn from)
Abhishek Thakur

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