Pinned Repositories
-NLP-with-Python-for-Machine-Learning-Essential-Training
With the increased amount of data publicly available and the increased focus on unstructured text data, understanding how to clean, process, and analyze that text data is tremendously valuable. If you have some experience with Python and an interest in natural language processing (NLP), this course can provide you with the knowledge you need to tackle complex problems using machine learning. Instructor Derek Jedamski provides a quick summary of basic natural language processing (NLP) concepts, covers advanced data cleaning and vectorization techniques, and then takes a deep dive into building machine learning classifiers. During this last step, Derek shows how to build two different types of machine learning models, as well as how to evaluate and test variations of those models.
Advanced-Decision-Trees
If you're working towards an understanding of machine learning, it's important to know how to work with decision trees. In this course, explore advanced concepts and details of decision tree algorithms. Learn about the QUEST algorithm and how it handles nominal variables, ordinal and continuous variables, and missing data. Explore the C5.0 algorithm and review some of its key features such as global pruning and winnowing. Plus, dive into a few advanced topics that apply to all decision trees, such as boosting and bagging.
Analysis_on_pets_Data
Technical Challenge: To answer the Data Analysis questions using sql and R
Analyzing-Big-Data-with-Hive
Businesses thrive by making informed decisions that target the needs of their customers and users. To make such strategic decisions, they rely on data. Hive is a tool of choice for many data scientists because it allows them to work with SQL, a familiar syntax, to derive insights from Hadoop, reflecting the information that businesses seek to plan effectively. This course shows how to use Hive to process data. Instructor Ben Sullins starts by showing you how to structure and optimize your data. Next, he explains how to get Hue, the Hadoop user interface, to leverage HiveQL when analyzing data. Using the newly configured option, he then demonstrates how to load data, create aggregate tables for fast query access, and run advanced analytics. He also takes you through managing tables and putting functions to use. This course is designed to help you find new ways to work with datasets so you can answer the tough data science questions that come your way.
Analyzing-Big-Data-with-Hive-702-702-likes-Save-5-539-Share-Share-video-with-title-Why-use-Hi
Businesses thrive by making informed decisions that target the needs of their customers and users. T
BuildItBigger-P4
BuildItBigger-Udacity
Capstone_Stage_1
Capstone_Stage_2
Movies
Udacity popular movies stage 2
hiteshsantwani's Repositories
hiteshsantwani/Analyzing-Big-Data-with-Hive-702-702-likes-Save-5-539-Share-Share-video-with-title-Why-use-Hi
Businesses thrive by making informed decisions that target the needs of their customers and users. T
hiteshsantwani/pharmacy_counting
hiteshsantwani/Pandas_Deep_Dive
pandas for Data Science is an introduction to one of the hottest new tools available to data science and business analytics specialists. pandas is an open-source library that provides high-performance, easy-to-use data structures and data analysis tools. While Python has excellent capabilities for data manipulation and data preparation, pandas adds data analysis and modeling tools so that users can perform entire data science workflows. Watch this course to gain an overview of pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
hiteshsantwani/Recommender_system
Assignments for Recommender systems course from Linkedin
hiteshsantwani/hiteshsantwani.github.io
hiteshsantwani/Hitesh-Santwani-Data-Scientist-
Resume for Data Science
hiteshsantwani/Udacity_Pytorch_Scholarship_challenge
A scholarship provided by Facebook and Udacity covering concepts behind deep learning and how to build deep learning models using PyTorch. Neural Networks PyTorch CNN, RNN Sentiment Prediction with RNNs Deploying Models Project - Flower Species Identifier Phase 1 is the Challenge Course. The duration of this course is two months, and program participants will receive support from community managers throughout their learning experience, as they become part of a dynamic student community and network of scholars. In Phase 2, the top 300 students (in terms of output and collaboration) from the first phase will earn full scholarships to Udacity’s Deep Learning Nanodegree program, where they’ll cover topics such as: Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. Students will use PyTorch, and have access to GPUs to train models faster, as they learn from authorities like Sebastian Thrun, Ian Goodfellow, Jun-Yan Zhu, and Andrew Trask.
hiteshsantwani/QPA
Web application developed using J2EE technology for managing assistant's rights to access ,modify and delete excel sheets hosted by admin.
hiteshsantwani/Resume
hiteshsantwani/EAS503_FinalProject
RSC-101 (Capstone project for EAS503 @ UB)
hiteshsantwani/LeetCode_Solutions_Top_100
hiteshsantwani/LeetCodeSolutionsJava
source code for leetcode problems that i have solved
hiteshsantwani/Capstone_Stage_2
hiteshsantwani/Capstone_Stage_1
hiteshsantwani/final-project
hiteshsantwani/Popular-Movies-P2-udacity
hiteshsantwani/BuildItBigger-P4
hiteshsantwani/UdacityGoUbiquitous-p6
hiteshsantwani/XYZ-Reader-p5
hiteshsantwani/BuildItBigger-Udacity
hiteshsantwani/ud867
Course code repository for Gradle for Android and Java
hiteshsantwani/My-Resume
My Resume in pdf format
hiteshsantwani/StockHawk_UdacityProj3
hiteshsantwani/Popular-Movies-P1-udacity
popular movies stage 1
hiteshsantwani/Video-Based-Traffic-Surveillance
Algorithm to detect vehicles at night time using temporal and spatial features (final year project)
hiteshsantwani/TaxiManiac
A game using game maker studio(premium version) coded in gml