Workshop on No Code Machine Learning (ML) showcased the use of visual drag-and-drop platforms to automatically build machine learning models and generate predictions without writing a single line of code. This program focused on tools used to discover the future value of company stock and other financial assets traded on an exchange. The thrust was on predicting stock prices for generating significant profits and predicting how the stock market will perform. In this Workshop participants got hands on Machine learning without codes Using Weka Software, and forecasted Stock Market Data Price and, Validated it with alternative method.
Dr. Rajesh Verma, Professor and Senior Dean, Mittal School of Business, LPU in his inaugural address emphasized the need of upskilling and remarked that No code machine learning was a much-needed skill set that could facilitate accurate forecasting. He congratulated the organizing team for organizing program on No code machine learning.
The program was conducted by seasoned Subject Matter Experts. Mr. Siddhant Sahu , Director of Sales Engineering, Strivr, CA, United States of America came online to give a brief Introduction and importance of No code machine learning. He also shared few research papers on the same. Mr. Lalit Kumar Bhardwaj, Assistant Professor Mittal School of Business focused on Charting terms and methods. Dr. James Daniel Paul, Professor, Mittal School of Business deliberated on types of Share Price Forecasting using Excel, Power BI, Tableau, Share Price Forecasting in Python & R & Eviews, Share Price Forecasting SPSS Minitab, Qlik Sence, and Trading. Participants were given individualized project and the presentation of the same was done by the participants on the end of the day.
In the valedictory address, the program coordinator Mr. Sarabjit Singh Kwatra, Deputy Dean, HRDC, LPU revealed the opportunity to upgrade career in No code machine learning. He emphasised the need of starting industry-oriented courses and opening some platforms for entrepreneurs to learn about emerging trends in No code machine learning. He appreciated the Resource Panel and the participants for working together on a futuristic agenda. He emphasized that the Short-Term Courses organized as outreach training programs are envisioned to upskill participants of Lovely Professional University and public at large and this course was successful in meeting the said objectives.
 showcased the use of visual drag-and-drop platforms to automatically build machine learning models and generate predictions without writing a single line of code.){kind=link}