nhiemth1985 Goto Github PK

2_mastering-mobile-robot-with-ros

All the programming files for the udemy course are availble Chapter wise.

2dcostmap_plugin

2D Costmap Plugin

2l-robot-arm-marlin

6dof_mobilerobotic_arm

6DOF Robotic ARM - Nvidia Jetson Nano - Kinect

8r-redundant-robotic-arm

8R redundant robotic arm with obstacle avoidance

abr_control

Robotic arm control in Python

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

ai-accelerator-recipe-trading-bot

This work uses a Model-free Reinforcement Learning technique called Deep Q-Learning (neural variant of Q-Learning). At any given time (episode), an agent abserves it's current state (n-day window stock price representation), selects and performs an action (buy/sell/hold), observes a subsequent state, receives some reward signal (difference in portfolio position) and lastly adjusts it's parameters based on the gradient of the loss computed.

ai-assistant

It is an AI assistant which will automate your task

ai-trade-bot

Stock Market Prediction Using News Sentiment Analysis and AI Trade Bot

ai_chatbot

ai_real_estate_agency

부동산 실거래가 예측모델

ai_stock_trading

Design pattern for critical stages in the development process of an AI Stock Trading Bot

aidan_wessels_data_analytics_for_finance

aiinvest

Live trading bot using Binance API stock exchange. Project is being created in casual manner. Under constant development

aistocktradingbot

WARNING: using this software will probably lose you money. The AIStockTradingBot will someday handle my Stock Trading Strategy while I am away. The intention is to handling trades and save/analyzing price data based on algorithms. Also providing actionable notifications. Currently this is all based on the TD Ameritrade API but the long term intention is to provide this service to multiple account providers. Also news and social media AI updates are very desired in time.

algobot

A C++ stock market algorithmic trading bot

alset

ALSET Autonomous Vehicles with Full Self Driving Capabilities: Model S: A toy RC robot with arm and tracked wheels. Model X: a toy RC Excavator. Both run the same software and use a camera for navigation and control (no lidar!) and Neural Nets / Reinforcement Learning (DQN) running on an on-board Jetson Nano.

amazon-customer-text-analysis-and-deployment

To implement text and customer analysis of Amazon with the help of different techniques in Python . Create a SQL connection to our SQLite database Reading data from SQLite database, Load the dataset using pandas sentiment analysis Perform EDA for the Positive sentences, remove extra spaces perform EDA for the Negative sentences Analyze to what User Amazon Can recommend more product removing the Duplicates. More over Analyze Length of Comments whether Customers are going to give Lengthy comments or short one Analyze Score Text Pre-Processing logic to remove punctuations or all the special characters. Removal of Stop words Analyzing customer and employee feedback Identifying new SEO keywords to target

amazon-go

amazon-go-1

amazon-go-2

amazon-go-3

amazon-pinpoint-googleads-channel

amazon-web-scraper

Finds when an item goes on sale on Amazon!

amazonautomation

Goes to amazon.co.uk and gets motorcycle products

an-ml-based-approach-for-solving-inverse-kinematic-of-a-6dof-robotic-arm

Solving the inverse kinematics of a robotic arm is a necessary step whether it is a first-time installation or the configuration of the robotic arm is already changed. In this work, a machine learning-based approach for solving the inverse kinematic of a robotic arm with six degrees of freedom is presented.

analytics-vidhya-loan-prediction

Loan finance data

analyticsvidya_loan_prediction_f1-score_87.67

Dream Housing Finance company deals in all kinds of home loans. They have presence across all urban, semi urban and rural areas. Customer first applies for home loan and after that company validates the customer eligibility for loan. Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have provided a dataset to identify the customers segments that are eligible for loan amount so that they can specifically target these customers.

analyze-risk-and-return---sharpe-ratio

Risk Analytics - Finance