Our Course

ML Scientist

ABOUT THIS COURSE

Course Description: ML Scientist

Overview:

Machine Learning Scientists focus on researching and developing new algorithms to solve complex problems.
At Glass Konnect, we offer in-depth training in Python, deep learning, statistics, and real-world data challenges.
Ideal for those aiming for innovation-driven roles in AI and advanced analytics.
Get expert mentorship, hands-on projects, and a path to cutting-edge careers in machine learning.

THIS COURSE INCLUDES

CURRICULUM

Beginner Python

Lists
Tuples
Dictionraies
Sets
IF-else statements
Loops (for, while)
Break
Continue
Control flow
Funtcions
Modules
Packages
Exceptional Handling
Try-except blocks
oop, class, Object
Inheritance
polymorphism
Encapsulation
Jupyter Notebooks

Neural Networks

Artificial Neural Network
Deep Learning
Perceptron
Activation Function
Weight
Bias
Layer (Input, Hidden, Output)
Feedforward Neural Network
Backpropagation
Loss Function
Optimizer
Single-Layer Perceptron
Multi-Layer Perceptron
Autoencoder
Sigmoid
Hyperbolic Tangent (tanh)
Rectified Linear Unit (ReLU)
Leaky ReLU
Softmax
Gradient Descent
Stochastic Gradient Descent (SGD)
Mini-Batch Gradient Descent
Learning Rate
Batch Normalization
Regularization (L1, L2)
Dropout
Fine-tuning
Cross-Entropy Loss
TensorFlow
Keras
Explainable AI (XAI)
Interpretability in Neural Networks
Gradient Check
Vanishing Gradient
Exploding Gradient
GPU
TPU (Tensor Processing Unit)
Vanishing Gradient Problem
Exploding Gradient Problem

Machine Learning

Supervised Learning
Unsupervised Learning
Semi-supervised Learning
Regression
Classification
Ridge and Lasso Regression
Regularisation
Performance Metrics
Confusion Matrix
F1-score
Receiver operating characteristic (ROC AUC)
Accuracy
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
Mean Absolute Percentage Error (MAPE)
Mean Absolute Error (MAE)
Gradient Descent
Stochastic Gradient Descent (SGD)
Mini-Batch Gradient Descent
Learning Rate
Linear Regression
Polynomial Regression
Logistic Regression
Support Vector Machines (SVM)
Decision Trees
Bagging/Boosting
Random Forest
Gradient Boosting
XGBoost Naive Bayes
Clustering Analysis
K-Means Clustering
Elbow Method
K-Means++
Hierarchical Clustering
Agglomerative clustering
Silhouette score
Within-Cluster Sum of Squares (WCSS)
DBSCAN
Anomaly Detection
Outlier Detection
Isolation Forest
Gaussian Mixture Model (GMMs)
Elliptic Envelope
Local Outlier Factor (LOF)
One-class-SVM
Dimensionality Reduction
Feature Extraction
Eigenvalues/Eigenvectors
Eigenvalues decomposition
Principal Component Analysis (PCA)
t-Distributed Stochastic Neighbor Embedding (t-SNE)

6 Months

120+ Learning Hours

Tool Box

5+ Assured Interviews

EPM COURSES

Data Science

Oracle EDMCS

Oracle ARCS

Oracle FCCS

Oracle TRCS

Who Should Take this Course?

Graduates and Postgraduates

Fresher’s

Working Professionals

No Prior Knowledge is required

What Are The Roles Can You Apply

See Yourself In One Of These Roles?

THE TEACHER

AJAY KUMAR

As an Oracle EPM Course Trainer, I enjoy guiding students through the world of financial planning and reporting. I aim to make complex topics like budgeting and data management simple to understand. Watching students learn how to use Oracle EPM Tools and Apply them in their jobs is truly rewarding.

SUCCESS STORIES

K. RAVI

The Oracle EPM course was exactly what I needed to understand financial planning and reporting. The content was clear, and the hands-on practice helped me get comfortable with the tools quickly. I now feel ready to use Oracle EPM in my job. I did it Online.

R. KAVYA

I switched from sales to financial analysis, and this Oracle EPM course made it possible. The lessons were clear, and I was able to start using Oracle’s financial tools right away in my new role. I completed Offline

T. Ram

This course helped me master Oracle EPM quickly. The lessons were straightforward and practical, and I now feel confident in using Oracle for financial management tasks. A great course for anyone looking to enhance their skills! I have completed Offline.

G. YAMINI

Pricing

Affordable Pricing Packages

Online Batch

Basic Package

online batch is a virtual training session where you can join and learn in real-time from anywhere

What's included?

*Terms and Conditions apply

Offline Batch

Regular Package

offline batch at Glass Konnect offers in-person software training at our physical location in Hyderabad.