WorkshopFeatured

6-Days Workshop on Machine Learning with Hands-on Training on Industry Projects – Cinute Digital Pvt. Ltd

Name: 6-Days Workshop on Machine Learning with Hands-on Training on Industry Projects – Cinute Digital Pvt. Ltd
Start: 2024-12-02 @ 10:00 AM to 2024-12-07 @ 04:00 PM
End: 2024-12-02 @ 10:00 AM to 2024-12-07 @ 04:00 PM
Location: St. John Institute of Management and Research

by Cinute Digital Pvt. Ltd

2024-12-02 @ 10:00 AM to 2024-12-07 @ 04:00 PM

St. John Institute of Management and Research

120+ Attendees

Purpose

Equip participants with practical experience in data preparation, analysis, and machine learning modeling for predicting material strength in engineering contexts. Emphasize the significance of understanding factors that influence compressive strength in cement, a core material in construction.

Content & Session Highlights

The session brought together industry experts to share their invaluable insights on the latest IT trends, including:

Data Preparation and Exploration

Import essential libraries: Pandas, NumPy, Matplotlib, and Seaborn.
Perform descriptive statistics (mean, median, mode, standard deviation) to assess feature distribution and variability.

Feature Analysis

Create a correlation heatmap using Matplotlib and Seaborn to identify relationships between features and their impact on cement strength.

Data Scaling

Normalize dataset values between -1 and 1 to standardize features, addressing the disparity in magnitude among features (e.g., water vs. plasticizers).

Data Splitting

Perform a train-test split to allow the model to learn relationships in the training data and test its predictive accuracy on unseen data.

Model Training and Evaluation

Use Linear Regression to train the model on the training data.
Predict and evaluate model accuracy against actual values, with an expected accuracy of around 82%.

Key Takeaways

Insightful Analysis

Gain a clear understanding of influential factors impacting cement compressive strength.

Model Accuracy

Develop a functional linear regression model with approximately 62% accuracy, forming a foundation for model refinement and future improvements.

Participants successfully mastered hands-on data preparation, exploratory analysis, feature correlation visualization, data normalization, train-test splitting, and linear regression modeling, while gaining a deep understanding of the key factors that influence cement compressive strength.

Organizer

Cinute Digital Pvt. Ltd. (CDPL)

Cinute Digital Pvt. Ltd. (CDPL) is a premier software training institute based in Mira Road, Mumbai. Specializing in Manual and Automation Software Testing, Data Science, and Digital Marketing, CDPL offers both online and on-premise courses designed to bridge the gap between academic education and industry demands. Their curriculum is crafted by industry experts, ensuring students acquire practical skills applicable across various sectors. CDPL’s commitment to quality education is evident through their state-of-the-art training center, which provides hands-on experience with live projects. The institute also offers dedicated placement assistance, helping students secure positions in multinational corporations. With a focus on empowering students and fostering a collaborative learning environment, CDPL stands out as a leader in IT training and certification.

More Info

Venue

St. John Institute of Management and Research

St. John Institute of Management and Research (SJIMR), established in 2007, is located in Palghar, Maharashtra. Affiliated with the University of Mumbai, it offers undergraduate and postgraduate programs, including BE and MMS. The college provides modern infrastructure, skilled faculty, and focuses on practical skills and industry readiness. SJIMR emphasizes holistic development and has a strong placement record, making it a great choice for students aiming to excel in their careers.

Palghar, Maharashtra

Event Registration Closed