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Sagar Vishwakarma @dev_sagar_7

Myself Sagar | Full stack developer by day & night πŸŒƒπŸ’». I Always on the lookout for the next challenge to crack. | Let's build something amazing together! πŸ’‘

Joined April 2024
  • Tweets 190
  • Following 39
  • Followers 12
50 Photos and videos
Learned RAG basics and how LLMs use real data πŸ“„ Document loaders 🧠 Embeddings 🧲 Vector stores πŸ” Retrieval with context Building smarter LLM apps πŸ€– GitHub πŸ”— github.com/CodeSagarrr/GRAD #RAG #LLM #GenAI #AI #MachineLearning #DeepLearning #Python
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LLM basics finally clear πŸ€– What is an LLM ✍️ Prompting 🌑️ Temperature πŸ”’ Tokens πŸ”Œ HuggingFace and OpenRouter Learning GenAI step by step 🧠 GitHub πŸ”— github.com/CodeSagarrr/GRAD #LLM #GenAI #AI #MachineLearning #DeepLearning #Python

GitHub - CodeSagarrr/GRAD

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github.com
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Learning NLP from the ground up : Tokenization Embeddings Built a small sentence similarity project and understood how text turns into meaningful vectors ✨ Code here πŸ”— github.com/CodeSagarrr/Deep-… #NLP #AI #MachineLearning #DeepLearning #Python #Developers
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Attention feels powerful and now I understand why they outperform RNNs Learning HuggingFace basics made text tasks feel simple Feeling confident with Transformer intuition #Transformers #Attention #DeepLearning #AI GitHub:github.com/CodeSagarrr/Deep-…
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GitHub : github.com/CodeSagarrr/Deep-…

GitHub - CodeSagarrr/Deep-Learning

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github.com
Sagar Vishwakarma@dev_sagar_7
6 Dec 2025
Learning CNNs boosted my confidence in computer vision tasks From convolution filters to feature maps and pooling the entire pipeline finally makes sense Running inference with MobileNet and ResNet was the real moment where everything clicked. #DeepLearning #CNN #AI #ML
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Learning CNNs boosted my confidence in computer vision tasks From convolution filters to feature maps and pooling the entire pipeline finally makes sense Running inference with MobileNet and ResNet was the real moment where everything clicked. #DeepLearning #CNN #AI #ML
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GitHub project: github.com/CodeSagarrr/Deep-…

GitHub - CodeSagarrr/Deep-Learning

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github.com
Sagar Vishwakarma@dev_sagar_7
5 Dec 2025
Built a simple feed-forward neural network today and trained it on a dummy dataset. Learned how tensors, model layers, loss functions and the full training loop work together in PyTorch. A solid step toward mastering deep learning. #DeepLearning #PyTorch #AI #ML
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Built a simple feed-forward neural network today and trained it on a dummy dataset. Learned how tensors, model layers, loss functions and the full training loop work together in PyTorch. A solid step toward mastering deep learning. #DeepLearning #PyTorch #AI #ML
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Built a small Payment Fraud Detection model today πŸ”πŸ’³ Cleaned data, handled imbalance, trained models and tested fraud predictions. Code here: github.com/CodeSagarrr/Payme… #MachineLearning #AI #FraudDetection

GitHub - CodeSagarrr/Payment-Fraud-Detection

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github.com
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GitHub: github.com/CodeSagarrr/AIML-… #MachineLearning #AI #DiabetesPrediction

GitHub - CodeSagarrr/AIML-mini-projects

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github.com
Sagar Vishwakarma@dev_sagar_7
28 Nov 2025
Just finished my Diabetes Prediction ML project. Cleaned data, handled zero values, scaled features and trained a Logistic Regression model. Evaluated using accuracy, precision, recall, F1 and confusion matrix. Reached around 74% accuracy a solid baseline. #MachineLearning #AI
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Just finished my Diabetes Prediction ML project. Cleaned data, handled zero values, scaled features and trained a Logistic Regression model. Evaluated using accuracy, precision, recall, F1 and confusion matrix. Reached around 74% accuracy a solid baseline. #MachineLearning #AI
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Learnt how to evaluate ML models using accuracy, F1 and MSE. Also understood how precision, recall and F1 are connected to the confusion matrix. Helpful to see the exact mistakes a model makes. #MachineLearning #AI #ModelEvaluation #DataScience GitHub: github.com/CodeSagarrr/ML_Ba…
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Completed Clustering and K-Means today. Learned how clusters form, how centroids move, inertia, elbow method and how to visualize cluster groups with simple plots. Also built a mini K-Means project. #MachineLearning #AI #Clustering #KMeans GitHub: github.com/CodeSagarrr/ML_Ba…
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Finished learning Decision Trees and Logistic Regression and built a Titanic Survival Prediction model using Scikit learn. Touched 80 percent accuracy and learned how to evaluate a classifier. Project code here : github.com/CodeSagarrr/AIML-… #MachineLearning #AI #Python #MLProject
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Built a small house price prediction project using python and linear regression. Cleaned the data trained the model and tested it on unseen rows. Good first step in applied ML. Check the project : github.com/CodeSagarrr/AI-ML… #python #ai #ml #datascience
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Supervised Learning finally clicked today Covered: regression classification, linear regression logistic regression KNN model training prediction evaluation loss functions Feeling more confident after running everything with real examples On to the next day #AI #Python
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Today I completed one of the most important parts of AIML which is data preprocessing. I worked on handling missing values scaling encoding outlier detection train test split and basic pipeline building. It feels great to understand how much clean data improves the model.
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Working on my AIML fundamentals and broke everything into clean day wise sections Day 1 Python Fundamentals Day 2 NumPy and Pandas Day 3 Math for ML Day 4 Data Visualization All notes are on my GitHub if you want to check them out. Link : github.com/CodeSagarrr?tab=r…
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Wrapped up my Data Visualization study for AIML. From preprocessing to interactive dashboards, and from Matplotlib to Plotly β€” learned how a clean chart can explain what pages of text can’t. Good visuals = clear thinking. #AIML #LearnInPublic #GenAi
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Completed my Calculus module for AI and ML. Feeling strong with derivatives, gradients and optimization. Ready for the next step in my AI learning journey. #AIML #LearnInPublic
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