#LSPPDay46
- Started my PyTorch journey by learning tensors, tensor operations, and automatic differentiation (Autograd).
- Understood how gradients are computed and tracked for training neural networks.
#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay45
- Implemented the Cliff Walking environment using Gymnasium.
- Explored the agent-environment interaction loop by resetting the environment, taking actions, and observing state transitions and rewards.
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay44
- Learned the core reinforcement learning paradigms: model-based vs. model-free and exploration vs. exploitation.
- Understood Dynamic Programming, Monte Carlo, and Temporal Difference learning.
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay43
- Implemented Value Iteration and Q-Learning for reinforcement learning
- Learned how agents estimate optimal actions through val updates
- Explored policy improvement & convergence in Markov Decision Processes
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay38
- Started building a potato disease classification project with TensorFlow
- Loaded and explored the PlantVillage dataset
- Implemented dataset partitioning, preprocessing, caching, and data augmentation
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay37
- Implemented the K-Nearest Neighbors (KNN) algorithm on the Wine dataset
- Performed EDA, feature scaling, and model evaluation
- Tuned the value of K to identify the optimal model performance
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay36
- Implemented a baseline duplicate question detector using Bag of Words
- Enhanced the model with basic feature engineering alongside Bag of Words
- Evaluated how feature engineering impacted model accuracy
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay35
- Started working on a Quora Question Pairs project
and performed initial EDA to understand the dataset and target distribution
- Analyzed duplicate questions, class imbalance, and question frequency
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay34
- Built a strong understanding of the Transformer architecture
- Learned how positional encoding and self-attention capture context
- Explored encoder-decoder models, multi-head attention and language generation
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay29
- Implemented text preprocessing for NLP
- Cleaned text by removing HTML, URLs, punctuation, numbers, and stopwords
- Implemented tokenization, stemming, lemmatization, and handling of emojis and chat words
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog
#LSPPDay28
-Learned the complete NLP pipeline from data collection to deployment
-Understood the purpose of each stage with text preparation and feature engineering
-Explored how these steps work together to build NLP apps
@lftechnology#60DaysOfLearning2026#LearningWithLeapfrog