Data Analytics - Predictive Modeling With ML/AI, Web Scraping With Python, Visualization With D3/Tableau, Predictive Modeling With ML/AI, Predictive Analysis and Visualization With Tableau/D3, Data Wrangling , Feature Engineering and Predictive Modelling, Algorithms Applied Include Clustering, Statistical Hypothesis Verification, Decision Tree, K-Nearest Neighbor, Random Forest, Neural Networks, Logistic Regression.

Predictive Analysis: ML & AI

AI is only as smart as the people that fuel it with insights. Our team of diligent and knowledgeable tech-gurus put to action the latest tools and business intelligence to assist businesses understand the information contained within the data by offering actionable insights, which further enables them to make effective business decisions

Data is first broken down into 3 phases - Data Wrangling, Feature Engineering and Predictive Modelling

• Data Wrangling – Creating logical data sets to create a universal model
• Feature Engineering – Data analytics to understand the key features & factors driving the behavior/results
• Predictive Modelling – Creating data sets to build a model and validating it with predefined parameters.

Technologies used include SQL, Tableau, Python, Keras, Scikit-Learn, Hadoop

Algorithms applied include Clustering, Statistical hypothesis verification, Decision Tree, K-Nearest Neighbor, Random Forest, Neural Networks, Logistic Regression.