بی بی سی کا تاریخی تبصرہ
بھٹو کی پھانسی پر بی بی سی کا تبصرہ آج تک یاد کیا جاتا ہے ۔
احسان فراموش پاکستانیوں نے اپنا ہی لیڈر مار ڈالا …
چالیس سال گزرنے کے بعد بھی یہ لفظ ہماری قومی تاریخ پر ایک زور دارطمانچہ ہیں ۔شاید تیس سے بھی کم لوگوں نے بھٹو کا جنازہ پڑھا ۔ضیاء کا جنازہ دس لاکھ افغانیوں نے پڑھا ۔جنازے اور ان کی تعداد مرنے والوں کی عظمت نہیں بیان کیا کرتے ۔رسول کریمؐ ،فاطمہؑ،حسینؑ،حسنؑ کے جنازوں میں کتنے لوگ شریک تھے ؟تاریخ کی کتابیں بھری پڑی ہیں ۔کس کی سوچ نے زمانے کو نئی زندگی دی اور کون حق پر تھا ؟
5جولائی 1977ء کا شب خون صرف جمہوریت پر ہی نہیں بلکہ انسانیت ،مذہبی آزاددی اور حقِ رائے پر شب خون تھا ۔شاہی قلعے کی سرنگوں میں آج بھی اس رقص کی یادیں موجود ہیں جو رزاق جھرنا نے موت کا پھندا گلے میں ڈالنے سے پہلے بیرک سے پھانسی گھا ٹ تک ایک پائوں پر ناچتے ہوئے کیا تھا ۔
ضیاء الحق کے سیاہ دور میں تشدد یا تختہ دار کے ذریعے شہید کییجانے والے چند شہدائے جمہوریت ۔
The intellectual heritage in British–India includes literature of Christian missionaries which focusses missionary perspective and the literature of Muslim missionary in response. In this Case, literature based on polemic method from both sides has become quite important. Specialists of Muslim Christian relations and religious students should be aware of debates of this ere. The criticism on Quran seems quite abundance on social media from opponents and enemies as well as their efforts are quite evident on minds of habitual valiance to precariousness and skepticism. That’s why, the preacher and student of Islamic religion should bring in light the effort being made by Muslim scholars in response to their claims. One of selected flowers in the caravan of Muslim scholars is Abu Mansoor Dehlvi (1902 AD). Tabjil al Tanzil is one of the prominent Quranic Interpretation which focuses on the replies to objections raised against Islam and Quran by Christians in Sub continent. In this paper, author tried to find out this un-published interpretation (as it is supposed) and analyzed its first part containing on surah al fatiha (manuscript). In the result, he finds that polemic method is prevailed. And objections against Islam has been silently condemned.
Customer churn prediction helps in identifying those customers who are probable to stop a subscription, product or service, and is therefore very essential for any business. Churn prediction
can be very valuable for customer retention, as it helps in predicting customers that are at risk of
leaving. It is more challenging to put forth churn prediction in banking sector, as there is no
contractual agreement between a customer and the bank regarding the duration of services. Loss
of customers can be very costly as it is very expensive to obtain new customers in this age of
competition. There are many churn prediction techniques however; K-Means, Local Outlier
Factors (LOF) and Cluster-Based Local Outlier Factors (CBLOF) have not been used so far for
this purpose. In this research, I have applied these techniques for customer churn prediction. The
results are evaluated and analyzed using Precision (Pr), Recall (Re) and F1
measure to justify the efficiency and effectiveness of this research.