Start Building Real Tech Skills.
Build skills to progress from basic models to building powerful predictive systems.
Neural Networks
Neural networks exist to help computers learn from data so they can recognize patterns, make decisions, and improve over time without being told exactly what to do. Used for applications such as image and speech recognition, fraud detection, autonomous vehicles and many more
What Are Tech Kit Modules?
Tech Kits are part of the walk-in service provided by Innovate Labs. If you have no prior experience, start with Beginner. If you have some experience, explore Intermediate kits, and move on to Advanced when you’re ready.
Beginner
Sketch Basic Networks with TensorFlow
Length: 30 MinutesDescription: More Information Coming Soon.
Intermediate
Creating a Neural Network Model with PyTorch
Length: 45 MinutesDescription: This tech kit introduces neural networks using PyTorch, where students build a model that predicts pass/fail outcomes from study data. Participants experiment with variables like neuron count, learning rate, and additional inputs to see how model performance changes, gaining hands-on experience with machine learning fundamentals.
Predictive Modeling
Predictive modeling is a data science technique used to create mathematical models that predict outcomes based on input data. It leverages statistical algorithms and machine learning to analyze historical data and forecast future or unknown events. The goal is to build a model that accurately predicts a target variable (dependent variable) using one or more input variables (independent variables). The model is trained on historical data and then applied to new data for predictions
What Are Tech Kit Modules?
Tech Kits are part of the walk-in service provided by Innovate Labs. If you have no prior experience, start with Beginner. If you have some experience, explore Intermediate kits, and move on to Advanced when you’re ready.
Beginner
Pandas For Data Analytics
Length: 30 Minutes Description: In this beginner predictive modeling Tech Kit, participants learn how to use Python and Pandas to explore, clean, and analyze datasets for real-world insights. Learners practice working with Series and DataFrames, performing conditional selections, summarizing statistics, and applying data cleaning techniques to prepare datasets for predictive analysis.Intermediate
Data Visualization and ML Using Python
Length: 45 Minutes Description: This tech kit introduces students to data visualization and predictive modeling using Python. Participants learn how to analyze real datasets by creating visualizations with libraries such as Matplotlib and Plotly and preparing data using Pandas. Students then apply basic machine learning techniques using Scikit-learn to train a model that predicts outcomes from the dataset. Through this process, students gain hands-on experience with the workflow used in modern data science, including data cleaning, feature preparation, visualization, and model evaluation.Advanced Project
More Information Coming Soon
What Are Advanced Tech Kit Modules?
The Advanced level combines concepts from both Beginner and Intermediate Tech Kits into a more integrated, hands-on experience. Participants will apply foundational skills alongside more complex tools and workflows to complete a comprehensive project. This level is designed for those who are comfortable with the basics and ready to connect multiple concepts to build more advanced, real-world solutions.
Advanced
More Information Coming Soon
Length: 60 MinutesDescription: More Information Coming Soon.
Click Here for Advanced Tech Kit →
Resources
Python 3.5
Type: Programming Language
Description: Python is an interpreted high-level programming language for general-purpose programming. Version 3.5 is a part of the many new versions that continuously are being put out.
TensorFlow
Type: Software Library
Description: TensorFlow is an open source software library for high performance numerical computations. It comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
Keras
Type: Network Library
Description: Keras is a high level neural network library written in Python. It runs on top of TensorFlow and is quite user friendly for those getting started. It was made for fast experimentation and modularity.
Google Colab
Type: Development Environment
Description: Google Colab is a code development environment that runs in the browser using Google Cloud and utilizes cloud computing.