Service

Data Science AI

Learn data science and AI through live projects, hackathons, and direct interaction with practitioners and ML engineers.

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About This Service

Learn data science and AI through live projects, hackathons, and direct interaction with practitioners and ML engineers.

Key Features

Machine Learning

Builds practical modelling skills through more than twenty hands-on projects using regression techniques applied to real analytical problems. Tools: Python, R.

Data Science

Takes a broader, certification-oriented approach with a strong focus on placement readiness. Tools: Python, SQL, Excel, Tableau, Hadoop, Spark.

Data Science with Python

Builds fluency in the Python libraries used daily in the field. Tools: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-Learn, SciPy.

Deep Learning

Introduces neural networks and modern architectures, covering one of the fastest-moving areas in AI today. Tools: TensorFlow, Keras.

Artificial Intelligence

Applies these foundations to real business problems, helping you build and implement working AI models. Tools: TensorFlow, Keras, Neural Networks.

Technologies We Use

Python

Language

TensorFlow

AI Framework

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