2024-12-31
37days remaining.
Machine Learning Engineer
Demand for machine learning engineers (already in short supply) is high and only expected to grow as the complexity of, and access to, machine learning increases. Machine learning has changed rapidly over the past few years. Within the tech world, the bounds of machine learning are constantly being pushed. The complexity of machine learning models and systems engineering has increased as more applications demand real-time or near real-time inferences
What will you learn in ML Skills?
Build ML models with NumPy scikit-learn, build train supervised models for prediction binary classification tasks (linear, logistic regression)
Build train a neural network with TensorFlow to perform multi-class classification,build , use decision trees , tree ensemble methods
Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering anomaly detection
Build recommender systems with a collaborative filtering approach a content-based deep learning method build a deep reinforcement learning model
SKILLS YOU WILL GAIN
Decision Trees
Artificial Neural Network
Logistic Regression
Recommender Systems
Linear Regression
Regularization to Avoid Overfitting
Gradient Descent
Supervised Learning
Logistic Regression for Classification
Xgboost
Tensorflow
Tree Ensembles
EPF Program helped me to build confidence and work with Fortunefootprints.com inhouse client.
EPF program helped me to get placed with good brands .
A 6 weeks long program helped me in my internship and getting placed in financial institutions which I always dreamed of.
EPF Program and 2 months inhouse program helped to get placed in nationwide bank.