种子简介
种子名称：
Natural Language Processing Real-World Projects in Python
文件类型：
视频
文件数目：
33个文件
文件大小：
1.8 GB
收录时间：
2022-11-3 07:15
已经下载：
3次
资源热度：
132
最近下载：
2024-6-21 08:57
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种子包含的文件
Natural Language Processing Real-World Projects in Python.torrent
02 Project 1--__Predict the sentiments of Amazon Customer/009 Automate your NLP model & Machine Learning Model.mp4107.08MB
01 Introduction to this course/001 Intro To course.mp419.34MB
01 Introduction to this course/002 How to follow this course-Must Watch.mp417.19MB
02 Project 1--__Predict the sentiments of Amazon Customer/001 Introduction to Business Problem & Dataset.mp423.73MB
02 Project 1--__Predict the sentiments of Amazon Customer/003 Perform Data Pre-processing on Amazon Data.mp460.17MB
02 Project 1--__Predict the sentiments of Amazon Customer/004 Apply Exploratory Data Analysis on Data.mp451.94MB
02 Project 1--__Predict the sentiments of Amazon Customer/005 Intuition behind Bag of Words.mp462.61MB
02 Project 1--__Predict the sentiments of Amazon Customer/006 Intuition behind Logistic Regression --part 1.mp457.97MB
02 Project 1--__Predict the sentiments of Amazon Customer/007 Intuition behind Logistic Regression --part 2.mp444.15MB
02 Project 1--__Predict the sentiments of Amazon Customer/008 Apply Bag of Words on data.mp495.95MB
02 Project 1--__Predict the sentiments of Amazon Customer/010 Intuition behind TF-IDF --part 1.mp424.78MB
02 Project 1--__Predict the sentiments of Amazon Customer/011 Intuition behind TF-IDF --part 2.mp434.59MB
02 Project 1--__Predict the sentiments of Amazon Customer/012 Applying algorithms of NLP & Machine Learning.mp458.75MB
02 Project 1--__Predict the sentiments of Amazon Customer/013 Data Preparation for Modelling Purpose.mp455.59MB
02 Project 1--__Predict the sentiments of Amazon Customer/014 What is Imbalance Data & how to handle it__.mp485.54MB
02 Project 1--__Predict the sentiments of Amazon Customer/015 Part1-- What is Cross-validation & when to use it__.mp441.66MB
02 Project 1--__Predict the sentiments of Amazon Customer/016 Part2-- What is Cross-validation & when to use it__.mp467.34MB
02 Project 1--__Predict the sentiments of Amazon Customer/017 Applying Techniques of Handling Imbalance Data & Cross Validation.mp499.34MB
03 Project2----___ Predict the Stock News Headlines/001 Introduction to Business Problem & Dataset.mp423.77MB
03 Project2----___ Predict the Stock News Headlines/003 Data Pre-processing on Data.mp484.04MB
03 Project2----___ Predict the Stock News Headlines/004 Perfrom Data Wrangling & Merging.mp472.03MB
03 Project2----___ Predict the Stock News Headlines/005 Intuition Behind Random Forest Part-1.mp477.76MB
03 Project2----___ Predict the Stock News Headlines/006 Intuition behind Random Forest --part 2.mp450.79MB
03 Project2----___ Predict the Stock News Headlines/007 Apply Bag of words and Random forest on Data.mp462.25MB
03 Project2----___ Predict the Stock News Headlines/008 Model Evaluation.mp450.04MB
03 Project2----___ Predict the Stock News Headlines/009 Intuition Behind Naive Bayes-Part 1.mp469.02MB
03 Project2----___ Predict the Stock News Headlines/010 Intuition Behind Naive Bayes- Part 2.mp492.62MB
03 Project2----___ Predict the Stock News Headlines/011 Apply Naive Bayes on Data.mp436.83MB
04 Project 3--___ Predicting the strength of Password/001 Introduction to Business Problem & Dataset.mp413.7MB
04 Project 3--___ Predicting the strength of Password/003 Exploring Data.mp457.06MB
04 Project 3--___ Predicting the strength of Password/004 Apply TF-IDF on data.mp460.55MB
04 Project 3--___ Predicting the strength of Password/005 Apply Logistic Regression on Data.mp452.96MB
04 Project 3--___ Predicting the strength of Password/006 Checking Accuracy of Model.mp428.2MB
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