Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Posts by Tag
- Python 8
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- Supervised Learning 7
- Feature Engineering 7
- Data Mining 6
- Unsupervised Learning 6
- Linear Algebra 5
- Optimization 5
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- ETL 5
- Visualization 5
- Pandas 4
- SciPy 4
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- Prediction 4
- Hypothesis Testing 3
- Financial Analytics 3
- R 3
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- Scikit-learn 3
- Calculus 3
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- Natural Language Processing 3
- Dimensionality Reduction 3
- Computer Vision 3
- AB Testing 2
- Marketing Analytics 2
- Stock Market 2
- Portfolio Management 2
- Regression 2
- Regularization 2
- Game Theory 2
- Sentiment Analysis 2
- PyTorch 2
- Deep Learning 2
- Markdown 1
- MapReduce 1
- Scikit-Learn 1
- Logistic Regression 1
- Non-cryptographic hashing 1
- Spam detection 1
- Tensorflow 1
- Theano 1
- Market Research 1
- Qualtrics 1
- NetworkX 1
- SQL 1
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Python
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Autograd: a program for automatic differentiation
Description: Implementation of a small-scale automatic differentiation framework, like PyTorch and Tensorflow.
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Tic Tac Toe with Minimax search
Implementation of the game of Tic Tac Toe.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Evaluating bounds using Manhattan and Euclidean distances
The maximum and minimum bounds of Euclidean and Manhattan distances between n, d-dimensional arrays were calculated.
Big Data
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Deep Learning for Computer Vision
Task 1: Multi-layer Perceptron
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Random Forest with PySpark
The dataset is wage and other data for a group of 3000 male workers in the mid-Atlantic region.
NumPy
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Autograd: a program for automatic differentiation
Description: Implementation of a small-scale automatic differentiation framework, like PyTorch and Tensorflow.
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Supervised Learning
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Deep Learning for Computer Vision
Task 1: Multi-layer Perceptron
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Bankruptcy Prediction through Classifiers
Compared classifiers in identifying whether a bank is about to go bankrupt or not, on the basis of 10 internal factors.
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Random Forest with PySpark
The dataset is wage and other data for a group of 3000 male workers in the mid-Atlantic region.
Feature Engineering
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Deep Learning for Computer Vision
Task 1: Multi-layer Perceptron
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Unsupervised Learning and Generalization Performance
Unsupervised Learning
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Random Forest with PySpark
The dataset is wage and other data for a group of 3000 male workers in the mid-Atlantic region.
Data Mining
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Evaluating bounds using Manhattan and Euclidean distances
The maximum and minimum bounds of Euclidean and Manhattan distances between n, d-dimensional arrays were calculated.
Unsupervised Learning
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
Unsupervised Learning and Generalization Performance
Unsupervised Learning
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Linear Algebra
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Evaluating bounds using Manhattan and Euclidean distances
The maximum and minimum bounds of Euclidean and Manhattan distances between n, d-dimensional arrays were calculated.
Optimization
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Unsupervised Learning and Generalization Performance
Unsupervised Learning
Autograd: a program for automatic differentiation
Description: Implementation of a small-scale automatic differentiation framework, like PyTorch and Tensorflow.
Mathematics for Gradient Descent
Assuming a linear model of the form and a dataset .
PySpark
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Unsupervised Learning and Generalization Performance
Unsupervised Learning
Random Forest with PySpark
The dataset is wage and other data for a group of 3000 male workers in the mid-Atlantic region.
ETL
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Deep Learning for Computer Vision
Task 1: Multi-layer Perceptron
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Visualization
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
Unsupervised Learning and Generalization Performance
Unsupervised Learning
Pandas
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
SciPy
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
LaTeX
Autograd: a program for automatic differentiation
Description: Implementation of a small-scale automatic differentiation framework, like PyTorch and Tensorflow.
Mathematics for Gradient Descent
Assuming a linear model of the form and a dataset .
Prediction
Bankruptcy Prediction through Classifiers
Compared classifiers in identifying whether a bank is about to go bankrupt or not, on the basis of 10 internal factors.
Bankruptcy Prediction through Classifiers
Compared classifiers in identifying whether a bank is about to go bankrupt or not, on the basis of 10 internal factors.
Random Forest with PySpark
The dataset is wage and other data for a group of 3000 male workers in the mid-Atlantic region.
Hypothesis Testing
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Capital Asset Pricing Model for IBM Stocks
Analysis of IBM’s 1994-2015 stock market performance using Capital Asset Pricing Model (CAPM).
Financial Analytics
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Bankruptcy Prediction through Classifiers
Compared classifiers in identifying whether a bank is about to go bankrupt or not, on the basis of 10 internal factors.
Capital Asset Pricing Model for IBM Stocks
Analysis of IBM’s 1994-2015 stock market performance using Capital Asset Pricing Model (CAPM).
R
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Bankruptcy Prediction through Classifiers
Compared classifiers in identifying whether a bank is about to go bankrupt or not, on the basis of 10 internal factors.
Capital Asset Pricing Model for IBM Stocks
Analysis of IBM’s 1994-2015 stock market performance using Capital Asset Pricing Model (CAPM).
Risk Management
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Capital Asset Pricing Model for IBM Stocks
Analysis of IBM’s 1994-2015 stock market performance using Capital Asset Pricing Model (CAPM).
Scikit-learn
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Calculus
Autograd: a program for automatic differentiation
Description: Implementation of a small-scale automatic differentiation framework, like PyTorch and Tensorflow.
Mathematics for Gradient Descent
Assuming a linear model of the form and a dataset .
Artificial Intelligence
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Tic Tac Toe with Minimax search
Implementation of the game of Tic Tac Toe.
Natural Language Processing
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Dimensionality Reduction
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
Unsupervised Learning and Generalization Performance
Unsupervised Learning
Computer Vision
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Deep Learning for Computer Vision
Task 1: Multi-layer Perceptron
AB Testing
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
Marketing Analytics
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
Stock Market
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Capital Asset Pricing Model for IBM Stocks
Analysis of IBM’s 1994-2015 stock market performance using Capital Asset Pricing Model (CAPM).
Portfolio Management
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Capital Asset Pricing Model for IBM Stocks
Analysis of IBM’s 1994-2015 stock market performance using Capital Asset Pricing Model (CAPM).
Regression
Portfolio Sorting Strategy for 5000+ companies
In this project, we investigated portfolio sorting strategy. We then listed one or more hypothesis to test the additional contribution of a factor.
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Regularization
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Regularized linear models, and spectral clustering with eigenvalue decomposition
Implemented linear, ridge, and lasso regression on quantitative data. Performed spectral clustering on graphical data.
Game Theory
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Tic Tac Toe with Minimax search
Implementation of the game of Tic Tac Toe.
Sentiment Analysis
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
PyTorch
Deep Learning for Computer Vision
Task 1: Multi-layer Perceptron
Deep Learning
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...
Markdown
Mathematics for Gradient Descent
Assuming a linear model of the form and a dataset .
MapReduce
Back to Top ↑Scikit-Learn
Top words and k-means for text clustering
Large text file is clustered into 10 different clusters after top 500 words are identified.
Logistic Regression
Spam Detector: Regularized Natural Language Processing
Implementation of an SMS spam detector based on logistic regression. This is the same idea behind sentiment analysis, but instead of predicting positive sent...
Non-cryptographic hashing
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Spam detection
Unique quotes estimation with Flajolet-Martin algorithm, and filtering spams with Bloom Filter
Number of unique quotes in the text documents are estimated using Flajolet Martin algorithm.
Tensorflow
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Theano
Othellobot
Othello (formerly called as Reversi) is a strategy board game for two players, played on a 8x8 uncheckered board. In a play, if there are player’s discs betw...
Market Research
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
Qualtrics
Smartwatch buying behavior at Syracuse University (2018)
This research is based on the survey conducted on 211 students of Syracuse University. Our research group created a survey based on the attributes which a cu...
NetworkX
Analysis of co-purchased products on Amazon
Large sized graphs are difficult to visualize, as they are computationally very expensive to plot. In such cases, we have to rely on algorithms which help us...
SQL
Character Recognition: Can Machine Learning Identify Human Written Characters?
Despite the rise of personal computers and smartphones, many people and businesses are dependant on hand written notes. For many people, written notes are fa...