#Day57
Day progress 🚀
Worked on Power Plant dataset using ANN (regression): data loading, train-test split, scaling, tensor conversion (PyTorch), model building + loss & optimizer setup.
Turning theory into practice 💡
@ApnacollegeX@ShradhaKhapra_#DeepLearning#PyTorch#AI
#Day59
Not every day is highly productive—and that’s okay.
Focused today on end-sem exams, assignments & my major project 📚✍️
Small steps still count. Consistency > intensity.
#StudentLife#KeepGoing#GrowthMindset
#Day56
Deep Learning Part 2
Covered:
Forward & Backward Propagation
Loss Functions (Regression & Classification)
Weight & Bias Updates
Derivatives in NN
Vanishing Gradient + ReLU
Batch vs Epoch vs Iteration, Optimizers & GD variants
@ApnacollegeX@ShradhaKhapra_
#Day55
Started Deep Learning Part 1 today 🚀
Learned ML vs DL,
Neural Networks,
Perceptron,
activation functions (Sigmoid, Tanh, ReLU), forward & backward propagation, and
Coded my first neuron 💻
Excited for what’s next!
@ApnacollegeX@ShradhaKhapra_#DeepLearning#AI
#Day54
🚀 Continued my Prime Batch journey today!
Learned Git & GitHub deeply via terminal — repos, cloning, commits, push, branches, merging, forking & fixing conflicts 💻
Feeling more confident with version control!
@ApnacollegeX@ShradhaKhapra_#Git#GitHub#Coding
#Day53
Completed my Smart Card project today 🚀
Worked on clustering, segmentation & cluster profiling 📊
Also explored Windows terminal commands 💻 (navigation, flags, touch & more)
Productive & insightful day 📈
@ApnacollegeX@ShradhaKhapra_#MachineLearning#DataScience
#Day49
Revised all Number concepts 📚 and today progressed in my ML journey 🚀
Covered:
KMeans (Iris dataset)
Hierarchical + Dendrogram
DBSCAN
+ Differences between all
Learning both intuition & coding 💡
#MachineLearning#AI#DataScience@ApnacollegeX@ShradhaKhapra_