Joined January 2022
- Tweets 118
- Following 28
- Followers 23
- Likes 20
12 Photos and videos
9 Jul 2024
Q-Drive: Self-Play Car Game Using Deep #Reinforcementlearning.
The project aims to understand the effectiveness of #DeepQLearning in continuous environments.
#ArtificialInteligence
#DeepLearning
#NeuralNetworks
#MachineLearning
Source Code: github.com/sidharth72/Q-Drivโฆ
1
39
28 Mar 2024
There are three main tabs to interact with, the first one is the extraction tab, this tab allows us to extract data from popular job platforms.
1
24
28 Mar 2024
The chat tab is where we can talk to Gemini model, which summarizes and answers our questions based on the ton of job descriptions we've extracted.
1
17
28 Mar 2024
๐
๐๐๐๐๐๐ โ๐ข๐๐๐๐๐๐ ๐๐ ๐กโ๐๐ข๐ ๐๐๐๐ ๐๐ ๐๐๐ ๐๐๐ ๐๐๐๐๐ก๐๐๐๐ ๐ค๐๐กโ๐๐ ๐๐๐๐ข๐ก๐๐ ๐๐ ๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐ก โ๐ข๐๐๐๐๐ฆ ๐๐๐ ๐ ๐๐๐๐, ๐๐ข๐ก ๐ด๐ผ ๐๐๐ข๐๐ ๐๐ ๐กโ๐๐ก.
1
18
28 Mar 2024
It can also suggest the best ways to optimize your journey to reach the goal. This process saves you valuable time that would otherwise be spent manually reading through numerous job postings.
1
13
28 Mar 2024
The AI can extract essential information such as required skills, experience levels, and interview insights that are common among hundreds of thousands of job descriptions and can even give tutorials and guides to refer to.
1
12
28 Mar 2024
The JobSum tool leverages an advanced ๐๐๐ ๐ฆ๐จ๐๐๐ฅ (๐๐๐ฆ๐ข๐ง๐ข ๐.๐ ๐๐ซ๐จ: ๐๐จ๐จ๐ ๐ฅ๐ ๐๐๐๐ฉ๐๐ข๐ง๐) API to analyze and understand hundreds of job descriptions in a matter of seconds.
1
10
28 Mar 2024
It utilizes data fetched from popular job platforms like #Indeed, LinkedIn, #Glassdoor, ZipRecruiter, and more, and provides a personalized and comprehensive job summary for each search query.
1
9
28 Mar 2024
๐๐จ๐๐๐ฎ๐ฆ is a job summarization and interactive app built using Streamlit designed to make your job search process easier and more efficient.
1
8
15 Aug 2023
#youtube video summarization & Chat
#ai
#chatbot
#gpt-3
#gradio
#langchain
Live: lnkd.in/gmASdYrW
Source Code: lnkd.in/gSr-5y_p
Project: lnkd.in/g7ZgCNAP
2
121
9 Aug 2023
#AI is transforming finance by learning to #trade stocks through #DeepReinforcementLearning. Using a custom environment and technical indicators, the neural network agent learns to make better trades after a million timesteps of training. suite.pycodemates.com/tradinโฆ
123
25 Jun 2023
Hi everyone,
I recently built a Convolutional Neural Network (CNN) from scratch using NumPy, just for fun! ๐ This is one of the activities I always engage in during my free time, and it has been an excellent way to gain a deeper understanding of how theโฆlnkd.in/gEkSCM2B
40
14 Jun 2023
Mini Series
#MLMiniSeries #RNN
A Recurrent Neural Network (RNN) is a type of neural network that processes sequences of inputs and produces sequences of outputs. It is commonly used in natural language processing, image recognition, and time series analysis.
38
14 Jun 2023
#MLminiSeries #CNN: A Convolutional Neural Network is a type of deep learning AI used for image recognition & classification tasks. It takes an input image, passes it through multiple convolution layers, and produces an output of class probabilities. #AI #DeepLearning
32
14 Jun 2023
#MLminiSeries #ActivationFunctions An activation function is a non-linear transformation that is applied to the input of a node in a neural network to determine the output of the node. It is a mathematical function used to determine the output of a neural network.
23
13 Jun 2023
#MLminiSeries #Backpropagation Backpropagation is an algorithm used to calculate the error contribution of each neuron after a batch of data. It is used in supervised learning to update the weights and biases of the neural network.
1
29
13 Jun 2023
#MLminiSeries #FeedforwardNN A feedforward neural network is a type of artificial neural network in which information flows only in one direction, from input to output, without forming a cycle. It is a basic type of artificial neural network.
21
12 Jun 2023
#MLminiSeries #Stacking is an ensemble machine learning technique where multiple models are trained and combined to create a stronger model with improved accuracy. It is used to improve the performance of a single model.
23