Apache Hadoop
1
Apache Spark
1
Autocorrelation
1
bar chart
1
box plot
2
categorical data
1
claasification
1
classification
4
clustering
1
continuous variable
1
convolution neural network
3
Cost Function
1
cross entropy
1
Data Exploration
1
Data Ingestion
1
data scaling
1
Data Visualization
1
Eigen values
1
Eigen vectors
1
Feature Engineering
1
Gradient Descent
1
gradient_descent
1
histogram
1
image processing
3
K-means algorithm
1
Keras
1
keras
2
Linear Regression
2
Linear regression
1
linear regression
1
Linear transformation
1
Logistic Regression
1
Logistic regression
1
neural network
2
normalization
1
numpy
2
Optimization
1
outliers
2
overfitting
1
pie chart
1
principal component analysis
1
probability density
1
PySpark
1
python
16
regression metrics
1
scatter matrix
1
scatter plot
1
scikit-learn
2
Sigmoid_function
1
Spark MLlib
1
TensorFlow
2
Types of Data
1
underfitting
1
unsupervised learning
2
visualization
5
Autocorrelation
box plot
claasification
classification
-
Data Classification using Logistic Regression Algorithm with Principal Component Analysis 05 Dec 2018
-
Image classification using convolution neural network with TensorFlow 12 Nov 2018
-
Image classification using convolution neural network with Keras 12 Jul 2018
-
Image classification using simple neural network with keras 19 Jun 2018
clustering
continuous variable
convolution neural network
Data Exploration
Data Ingestion
Data Visualization
Eigen values
Eigen vectors
Feature Engineering
gradient_descent
image processing
K-means algorithm
keras
Linear Regression
Linear regression
linear regression
Linear transformation
Logistic Regression
Logistic regression
neural network
numpy
outliers
overfitting
principal component analysis
probability density
python
-
Logistic Regression from scratch using Python 07 Jan 2019
-
Effect of Autocorrelation in the model residuals 22 Dec 2018
-
Cost Function Optimization using Gradient Descent Algorithm 19 Dec 2018
-
Optimal number of cluster identification with K-Means algorithm using elbow method 16 Dec 2018
-
Data Classification using Logistic Regression Algorithm with Principal Component Analysis 05 Dec 2018
-
Linear Regression using Apache Hadoop and Apache Spark 25 Nov 2018
-
Image classification using convolution neural network with TensorFlow 12 Nov 2018
-
Image classification using convolution neural network with Keras 12 Jul 2018
-
Image classification using simple neural network with keras 19 Jun 2018
-
Linear Regression using sklearn 25 Jan 2018
-
Understanding the categorical data using pie chart and bar chart 22 Jan 2018
-
Understanding the distribution of the continuous data using the histogram 14 Jan 2018
-
Removing the outliers using statistics 12 Jan 2018
-
Detecting the outliers in the data using box plot 12 Jan 2018
-
Understanding the relationship between the features using basic and advanced scatter plot 11 Jan 2018
-
Python for Data Science 10 Jan 2018
regression metrics
scatter matrix
scatter plot
scikit-learn
Sigmoid_function
TensorFlow
Types of Data
underfitting
unsupervised learning
visualization
-
Understanding the categorical data using pie chart and bar chart 22 Jan 2018
-
Understanding the distribution of the continuous data using the histogram 14 Jan 2018
-
Removing the outliers using statistics 12 Jan 2018
-
Detecting the outliers in the data using box plot 12 Jan 2018
-
Understanding the relationship between the features using basic and advanced scatter plot 11 Jan 2018