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How To Install Linux On Windows?
How To Install Jupyter Lab? (1) Go To A Folder Using Command Prompt Where You Want To Install The Linus System. (2) Check All The Linux Distribution That Can Be Installed wsl – install (3) Install Any Valid Distribution wsl – install -d Ubuntu (4) Give An User Name & Password. (5) Installation Is Successful (7) Open Ubuntu Command Prompt
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How To Change Directory Using Command Prompt?
How To Change Directory In Command Prompt? (1) Open Command Prompt. (2) Follow The Below Steps Step-1: Use The ‘cd’ Command Suppose you want to go to the below folder. F:Smart Search ModellingDataSet Step-2: Type The Disk Folder Name & Colon ‘:’ Step-3: Press Enter Ypu Will See The Directory
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How To Install Jupyter Lab?
How To Install Jupyter Lab? (1) Install Jupyter Lab With PIP pip install jupyterlab (2) Lunch Jupyter Lab jupyter lab
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Python ‘argparser’ Library.
Python ‘argparse’ Library Table Of Contents: What Is An ‘argparse’ Library? Why Do We Use ‘argparse’ Library? Syntax Used In ‘argparse’ Library? Parameters Passed To add_argument() Method. Example Of ‘argparse’ Library? (1) What Is An ‘argparse’ Library? ‘argparse’ library is a command line parsing module used while creating a user-friendly command line interface programming. When you want your program to accept command line arguments from the command prompt, that time you will use ‘argparsr’ library. (2) Why Do We Use ‘argparse’ Library ? To accept command line input as an argument we can use the ‘argparse’ library. By using the
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Image Classification With ANN!
Image Classification With ANN! Table Of Contents: What Is The Business Use Case? Importing Required Libraries. Loading Data. Shape Of Data. Data Types Of Dataset. Creating Validation Data And Scaling Data To Range (0-1). Looking At The First Two Images. Validation and Test Set Size. Let’s Look At A Sample Of The Images In The Dataset. Model Building. Compiling The Image Classification Model. Training & Evaluating Image Classification Model. Model Evaluation. Model Visualization. Visualizing Training And Validation Loss. Visualizing Training And Validation Accuracy. Making Prediction. Confusion Matrix. Looking At Some Random Prediction. Use The Model To Make Prediction. Here, the
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Life Expectancy Prediction – ANN!
Life Expectancy Prediction Table Of Contents: What Is The Business Use Case? Steps Involved In Heart Failure Prediction. Importing Library Loading Data Plotting Count Plot Examining The Correlation Matrix For All The Features. Examining Count Plot Of Age. Outlier Detection Plotting. KDE Plot. Data Preprocessing. Train Test Split. Model Building. Model Conclusion. (1) What Is The Business Use case ? This use case is all about the ‘Life Expectancy’ prediction of a person in a country using the ANN model. (2) Importing Required Libraries import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn import preprocessing
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Heart Failure Prediction!
Heart Failure Prediction Table Of Contents: What Is The Business Use Case? Steps Involved In Heart Failure Prediction. Importing Library Loading Data Plotting Count Plot Examining The Correlation Matrix For All The Features. Examining Count Plot Of Age. Outlier Detection Plotting. KDE Plot. Data Preprocessing. Train Test Split. Model Building. Model Conclusion. (1) What Is The Business Use Case? Cardiovascular diseases are the most common cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide. Heart failure is a common event caused by Cardiovascular diseases. It is characterized by the
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What Is Dropout Layer?
What Is Dropout Layer? Table Of Contents: What Is Dropout Layer? What Happens In Training Stage ? What Happens In Testing Stage ? Why We Need To Scale The Weights After Training, When Using Dropouts? (1) What Is Dropout Layer ? The Dropout Layer is a regularization technique used in deep learning neural networks to prevent overfitting. Overfitting occurs when a model performs exceptionally well on the training data but fails to generalize well to new, unseen data. The Dropout Layer works by randomly “dropping out” (i.e., temporarily deactivating) a proportion of the neurons in a neural network during the
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What Is Early Stopping?
What Is Early Stopping ? Table Of Contents: What Is Early Stopping? Example To Understand – Classification Use Case. Understand The EarlyStopping() Method. (1) What Is Early Stopping? Let’s say you are training a neural network model, you need to mention how many epochs you need to train your model. the term “epochs” refers to a single complete pass of the training dataset through the neural network. How would you know how many epochs you need to have to train your model perfectly? You can say that I will train my model 1000 thousand times and see the result. But
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Australian Rain Prediction.
Predicting Next Day Rain In Australia Table Of Contents: What Is The Business Use Case? Python Implementation. (1) What Is The Business Use Case ? Predicting next day rain using a dataset containing 10 years of daily weather observations from different location across Australia. (2) Python Implementation. (1) Importing Required Library import matplotlib.pyplot as plt import seaborn as sns import datetime from sklearn import preprocessing from sklearn.preprocessing import LabelEncoder from sklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split from keras.layers import Dense, BatchNormalization, Dropout, LSTM from keras.model import Sequential from keras.utils import to_categorical from keras.optimizer import Adam from tensorflow.keras import regularizers
