Ajay Kumar

Data Science learner 📊 | Python • NumPy • ML
BCA Final Year | Learning in public
Turning curiosity into skills 🚀

[Ajay Kumar @AjayKumar_0205]

🧠 NLP Project Completed 🚀
Built a Sentiment Analysis model using RNN — preprocessing, TF-IDF, DataLoader, model building, training & evaluation.
End-to-end NLP pipeline done 📊
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 NLP Project Progress 🚀
Started Sentiment Analysis using RNN — text preprocessing with regex, stopword removal (NLTK), stemming, and TF-IDF vectorization.
Preparing text data for deep learning 📊
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 Deep Learning Progress 🚀
Started NLP — text preprocessing, TF-IDF, Word2Vec, RNNs and LSTM for sequence modeling.
Learning how AI understands language 📚📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Anjali Chauhan @Rapunzel164]

Grateful and proud to receive my 🥈 medal for securing 2nd position in my BCA 2nd year batch!
A reminder that hard work and consistency truly pay off.

Onwards to bigger goals! 🚀

#Achievement #StudentLife #Success #KeepLearning

[Ajay Kumar @AjayKumar_0205]

🧠 Deep Learning Progress 🚀
Started Computer Vision & CNNs — convolution layers, pooling, and fully connected layers.
Learning how neural networks understand images 📸📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 Deep Learning Progress 🚀
Built an ANN for classification — dataset preparation, model training, and evaluation.
Learning how neural networks solve classification problems 📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 Deep Learning Progress 🚀
Built my first ANN for regression — dataset loading, DataLoader, model building, training, saving best model & evaluation.
From theory to real neural networks 📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

@NihalXtro_ Yes it's worth it.

[Ajay Kumar @AjayKumar_0205]

🚀 Started my Minor ML Project: CreditWise Loan System
Working on EDA, missing data, feature encoding, scaling, model training & evaluation.
Finally applying ML to a real project 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 Deep Learning Progress
Learning chain rule in NN, vanishing gradient problem, ReLU variants, epochs vs iterations, optimizers & modern gradient descent methods.
Understanding how deep models train efficiently
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 Deep Learning Progress 🚀
Learning forward & backward propagation, loss functions (regression & classification), and weight/bias updates.
Understanding how neural networks actually learn 📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🧠 Started Deep Learning 🚀
Learning neural networks, perceptron (in-depth), multi-layer networks & building a neuron in code.
From ML to modern AI systems 📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #DeepLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🛒 Started Minor Project: SmartCart Clustering System 🚀
Working on customer segmentation — EDA, feature engineering, scaling, choosing K (Elbow & Silhouette), clustering & profiling.
Applying Unsupervised ML to real data 🧠📊
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning

[Ajay Kumar @AjayKumar_0205]

🚨 ML Progress – Anomaly Detection 🚀
Learning DBSCAN, Isolation Forest & LOF (concept + code) to detect outliers in data.
Understanding how ML finds rare patterns 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

📉 Unsupervised ML Progress 🚀
Started Dimensionality Reduction & PCA — step-by-step math + code implementation.
Learning how to reduce dimensions while preserving variance 🧠📈
#AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🚀 Unsupervised ML Progress
Learning hierarchical clustering, dendrograms, DBSCAN, and comparing K-Means vs DBSCAN on non-linear data.
Understanding when to use which clustering method 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🚀 Unsupervised ML Progress
Implementing K-Means in code, handling random initialization, choosing K, and testing on the Iris dataset.
Learning practical clustering step by step 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🚀 Started Unsupervised ML – Part 1
Learning clustering: K-Means and the Elbow method for choosing K.
Exploring how models find patterns without labels 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🎉 Supervised ML Completed 🚀
Finished with ensemble methods: voting, stacking & blending (logic + code).
From basics to advanced techniques — great learning journey 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🚀 Diving deeper into Boosting in Supervised ML
Working with AdaBoost (intuition + code), XGBoost, and understanding homogeneous vs heterogeneous ensembles.
Learning how weak models become strong together 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic

[Ajay Kumar @AjayKumar_0205]

🚀 Supervised ML – Part 6 🚀
Started Gradient Boosting: regressor & classifier, intuition + code.
Learning how boosting builds strong models step by step 🧠📈
#ShradhaKhapra_ #ApnaCollegeX #AIML #MachineLearning #LearningInPublic